System

Abstract

To provide a system which enables efficient and high-quality class communication and preparation of a letter.SOLUTION: Means for a user to input a topic of class communication or a letter by text, means for a terminal to transmit input topic data to a server, means for the server to analyze the received topic data and extract a relevant keyword, means for the server to select an appropriate illustration from a database based on the extracted keyword, means for the server to set a layout using a template engine and insert a designated topic, the selected illustration, and a column of a season, means for the server to transmit generated data to the terminal, and means for the terminal to display the generated data to a user; Means for a user to confirm and edit the data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In daycare centers, kindergartens, elementary schools, and junior high schools across Japan, teachers create class newsletters and letters, which require a great deal of time and effort, resulting in a decrease in the efficiency of educational activities. Furthermore, the creation process, which includes selecting illustrations, setting layouts, and inserting seasonal columns, is extremely burdensome. This reduces the time available for essential educational activities, resulting in a decline in the quality of education. The objective of this invention is to provide a system that solves these problems, reduces the burden on teachers, and enables the efficient creation of high-quality class newsletters and letters. [Means for solving the problem]

[0005] The system of the present invention solves the above-mentioned problems by providing a system including: a means for a user to input a topic for a class newsletter or letter in text; a means for a terminal to transmit the input topic data to a server; a means for the server to analyze the received topic data and extract related keywords; a means for the server to select an appropriate illustration from a database based on the extracted keywords; a means for the server to set a layout using a template engine and insert the specified topic, the selected illustration, and a seasonal column; a means for the server to transmit the generated data to the terminal; and a means for the terminal to display the generated data to the user, allowing the user to confirm and edit the data. Furthermore, the server includes a means for automatically generating a seasonal column appropriate to the grade for the topic input by the user, and a means for saving and distributing the data finally edited by the user, thereby enabling efficient and high-quality creation of class newsletters and letters while reducing the burden on teachers.

[0006] "User" refers to a teacher or educator who uses the system to create class newsletters or letters.

[0007] "Terminal" refers to a digital device used by a user, such as a PC, tablet, or smartphone.

[0008] "Server" refers to a remotely located computer system that receives and processes data sent from a terminal.

[0009] "Topic" refers to the content or theme that a user wants to include in a class newsletter or letter.

[0010] "Topic data" refers to data that expresses a topic entered by a user into a terminal in text format.

[0011] "Natural language processing (NLP)" refers to the technology that enables computers to understand and analyze human language.

[0012] "Keywords" refer to important words and phrases extracted from topic data.

[0013] "Illustrations" refers to images and pictorial data inserted into class newsletters and letters.

[0014] A "template engine" refers to software for dynamically inserting various data based on a predefined layout.

[0015] "Layout" refers to the arrangement and composition of each element of a class newsletter or letter (title, main text, illustrations, columns, etc.).

[0016] A "seasonal column" refers to text or information that is composed of content that corresponds to a specific season.

[0017] "Database" refers to an integrated system in which data such as illustrations and columns are stored.

[0018] "Generated data" refers to the final class newsletter or letter data that is processed and generated by the server.

[0019] "Checking and editing" refers to the process in which the user looks at the generated data and makes any necessary corrections or additions.

[0020] "Saving and distributing" refers to the act of a user saving the finalized class newsletter or letter and providing it to relevant parties by printing it or emailing it. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[0043] System Overview

[0044] This system has the function of automatically adding appropriate illustrations and seasonal columns to the server based on topic data entered by the user (teacher or educator), and generating class newsletters and letters in an easy-to-read layout. The specific operation is shown below.

[0045] Program processing explanation

[0046] Entering and sending topics

[0047] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they might input "Announcement of Autumn Field Trip."

[0048] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[0049] Topic analysis and keyword extraction

[0050] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are extracted.

[0051] Illustration selection

[0052] The server selects related illustrations from a database based on the extracted keywords. For example, illustrations of "autumn scenery" or "field trip scenes" are selected from the database.

[0053] Layout settings and column generation

[0054] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[0055] The server automatically generates seasonal columns according to the grade level. For example, a column titled "Autumn Plant Observation" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[0056] Sending and Displaying Data

[0057] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[0058] The terminal displays the received data to the user, who can then review it and edit it as necessary.

[0059] Editing and Distribution

[0060] After the user has finished editing, they can save the final class newsletter or letter, which can then be printed on paper or distributed via email.

[0061] Specific examples

[0062] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0063] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0064] 2. The device sends this information to the server in JSON format.

[0065] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0066] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[0067] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[0068] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0069] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0070] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[0071] The processing flow will be explained below.

[0072] Step 1:

[0073] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[0074] Step 2:

[0075] The device sends the entered topic data to the server as a JSON-formatted request, which includes the topic text data and metadata such as the user ID and school ID.

[0076] Step 3:

[0077] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topics and extract keywords. For example, it extracts keywords such as "autumn" and "field trip."

[0078] Step 4:

[0079] The server selects relevant illustrations from a database based on keywords, for example, "autumn scenery" or "group scene on a field trip."

[0080] Step 5:

[0081] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[0082] Step 6:

[0083] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[0084] Step 7:

[0085] The server combines the layout and column information to generate the final class newsletter or letter data, which is in PDF or HTML format.

[0086] Step 8:

[0087] The server transmits the generated data to the terminal.

[0088] Step 9:

[0089] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0090] Step 10:

[0091] The user then performs a final check and saves the edited class newsletter or letter in PDF or HTML format.

[0092] Step 11:

[0093] The final class newsletter or letter can be printed or distributed by email by the user.

[0094] Example 1

[0095] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0096] In the educational field, teachers and educators often find it time-consuming and laborious to create class newsletters and letters. It's especially difficult for busy teachers to do this efficiently. Enhancing the content's appearance and information quality is also a major challenge. Furthermore, there is a lack of a way to automatically update content according to the season or grade level, making it difficult for the quality of the documents created to be consistent.

[0097] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0098] In this invention, the server includes: a means for a user to input a topic for a correspondence document as text; a means for a terminal to transmit the input topic data to a processing device; a means for the processing device to analyze the received topic data and extract relevant keywords; a means for the processing device to select appropriate image data from a data storage device based on the extracted keywords; a means for the processing device to set a layout using a template construction device and insert the specified topic, selected image data, and seasonal information; a means for the processing device to transmit the generated data to the terminal; and a means for the terminal to display the generated data to the user, allowing the user to confirm and edit the data. This allows users to efficiently create high-quality class newsletters and letters, improving the richness and appearance of the content. Furthermore, content appropriate for the season and grade level can be automatically reflected, ensuring consistent quality in the created documents.

[0099] A "user" is an entity that inputs correspondence topics and reviews and edits the generated data.

[0100] "Correspondence documents" are documents used to convey information, such as class newsletters and letters.

[0101] A "terminal" is a device that transmits topic data entered by a user to a server, and receives and displays the generated data.

[0102] The "processing device" is a device that analyzes topic data sent from a terminal, extracts related keywords, selects image data, and sets layouts using templates.

[0103] "Keywords" are important words and phrases extracted from the topic of a correspondence.

[0104] "Image data" refers to visual information such as illustrations and photographs selected to enhance the appearance of correspondence.

[0105] A "data storage device" is a device that stores information necessary for generating correspondence, such as image data and templates.

[0106] A "template construction device" is a device for setting the layout of correspondence documents and inserting the text, image data, and seasonal information.

[0107] "Seasonal information" is a column or description related to a particular season.

[0108] "Generated data" refers to correspondence data that is generated by the server based on user input and sent to the terminal.

[0109] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. The program processing of this system is explained in detail below in natural language.

[0110] Program processing explanation

[0111] Entering and sending topics

[0112] The user opens a dedicated application and enters the topic of a class newsletter or letter. For example, they enter "Announcement of autumn field trip." The device then sends a JSON-formatted request to the server, including the topic data received from the user and metadata such as the user ID and school ID. The device used can be a regular computer or smartphone.

[0113] Topic analysis and keyword extraction

[0114] The server analyzes the JSON data received from the device. A natural language processing (NLP) engine (such as SpaCy or NLTK) is used to extract important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are analyzed. The server hardware is a regular server machine, and the software uses the NLP engine mentioned above.

[0115] Illustration selection

[0116] Based on the extracted keywords, the server selects relevant illustrations from a database (e.g., AWS® S3 or Google® Cloud Storage). The system selects illustrations of "autumn scenery" and "field trip scenes" from the database. The server executes SQL queries against the database to retrieve the appropriate illustration data.

[0117] Layout settings and column generation

[0118] The server uses a template engine (e.g., Jinja2 or Handlebars) to automatically generate the layout of a class newsletter or letter. This layout includes a title, selected illustrations, the main text, and a seasonal column. The server generates the seasonal column using a generative AI model (e.g., GPT-4 (registered trademark)) according to the grade level. For example, a column titled "Autumn Plant Observations" is inserted for first graders, and a column titled "Historical Background on Autumn" is inserted for sixth graders.

[0119] An example of a prompt is:

[0120] "The topic entered by the user is 'Autumn Field Trip Announcement'. Please generate a detailed explanation of autumn plant observation for first graders."

[0121] "Write a column for sixth graders that gives historical background on autumn."

[0122] Such as are used.

[0123] Sending and Displaying Data

[0124] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. The terminal displays the received data to the user, allowing the user to check and edit the content. Examples of PDF generation libraries used include WeasyPrint and ReportLab. The terminal has a viewer application for displaying the generated data.

[0125] Editing and Distribution

[0126] After the user checks the content and makes any necessary edits, the final class newsletter or letter is saved. The user can print this data on paper or distribute it via email. The saving location can be a local disk or cloud storage.

[0127] Specific examples

[0128] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0129] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0130] 2. The device sends this information to the server in JSON format.

[0131] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0132] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[0133] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[0134] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0135] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0136] In this way, this system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[0137] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0138] Step 1:

[0139] The user opens a dedicated application and inputs the topic of the class newsletter or letter. The user enters "We will be holding an autumn field trip next Friday" in the application's input field and presses the "Send" button. The input data is text data titled "Announcement of autumn field trip."

[0140] Step 2:

[0141] The device converts the input topic data into JSON format and sends it to the server. Specifically, the device receives the user's input, generates a JSON format request including metadata such as the user ID and school ID, and sends it to the server's API endpoint (for example, https: / / example.com / api / gakkyucommunication). The input is the user's topic data, and the output is a JSON format request.

[0142] Step 3:

[0143] The server parses the JSON data received from the device. The server deserializes the received JSON data and uses a natural language processing (NLP) engine (e.g., SpaCy or NLTK) to extract important keywords and context from the topic. The input is the received JSON data, and the output is the extracted keywords (e.g., "autumn," "field trip," etc.).

[0144] Step 4:

[0145] The server selects relevant illustrations from a database based on the extracted keywords. The server uses the keywords to query a database (e.g., AWS S3 or Google Cloud Storage) and retrieves the URL or binary data of the most relevant illustration. The input is the extracted keywords, and the output is the selected illustration data (e.g., an image URL for "Autumn Scenery"). Specific operations include executing SQL queries or API requests.

[0146] Step 5:

[0147] The server uses a template engine to set the layout of the document to be generated and inserts the specified topic, selected illustrations, and seasonal columns. The server inputs the topic, text, and illustration URL to the template engine (e.g., Jinja2 or Handlebars), inputs the prompt "Generate a detailed explanation of autumn plant observations for first-graders" to the generative AI model (e.g., GPT-4), and inserts the generated text into the template. The input is the topic data, illustration data, and seasonal column generation prompt, and the output is the completed template layout.

[0148] Step 6:

[0149] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. It uses a PDF generation library (for example, WeasyPrint or ReportLab) to convert the generated layout into PDF format and sends this PDF data to the terminal. The input is the completed template layout and the output is PDF data. Specifically, it converts the output of the template engine into PDF format and sends it to the terminal as an HTTP response.

[0150] Step 7:

[0151] The terminal displays the received PDF data to the user, allowing the user to check and edit the content. The terminal opens the received PDF data in a display application (e.g., Adobe Reader) and shows it to the user. The input is the PDF data received from the server, and the output is the PDF content displayed to the user. Specific operations include launching the PDF display application and the user using an editing tool to modify the content.

[0152] Step 8:

[0153] The user checks and edits the content and saves the final class newsletter or letter. The user uses the editing tools to modify the PDF displayed on the device, presses the "Save" button, and saves the final PDF to a local disk or cloud storage. The input is the PDF content edited by the user, and the output is the saved final PDF data. The user can print this saved data or distribute it by email.

[0154] (Application example 1)

[0155] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0156] In today's commercial environment, it is difficult for brick-and-mortar stores to effectively and quickly communicate the latest information and campaigns to customers. Store staff, in particular, are busy, and need a way to efficiently create and distribute high-quality announcements. Furthermore, manually selecting the appropriate layout and illustrations for each topic is extremely time-consuming, reducing overall work efficiency. To solve these problems, there is a need for a system that allows brick-and-mortar store staff to easily and efficiently create and distribute announcements and campaign information.

[0157] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0158] In this invention, the server includes: means for a user to input a topic as text; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to select appropriate illustrations from a database based on the extracted keywords; means for the server to set a layout using a template engine and insert the specified topic, the selected illustrations, and a seasonal column; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the user to finally save the generated data and distribute it by print or electronic means. This enables staff at physical stores to quickly and efficiently create high-quality guides and campaign information and distribute it in the required format.

[0159] "User" means any person or entity that uses the System to enter text about topics and review and edit the generated data.

[0160] A "topic" is a specific piece of information or theme entered by a user, such as an event announcement or campaign information.

[0161] A "terminal" refers to an input device or display device used by a user, and includes smartphones, tablets, personal computers, etc.

[0162] "Server" refers to a central computer system that receives data sent from terminals, analyzes, processes, and manages the database.

[0163] "Keywords" are important words and phrases extracted by the server by analyzing the topic data it receives.

[0164] "Illustrations" refers to images or diagrams selected from a database related to the topic or keywords entered by the user.

[0165] A "template engine" is software that manages and generates fixed layouts, and is responsible for properly arranging topics, illustrations, columns, etc.

[0166] "Layout" refers to the specific arrangement and design of the generated announcements and campaign information.

[0167] A "seasonal column" is text or information related to a specific season or time of year, and is automatically generated according to the attributes of the target user.

[0168] "Generated data" refers to information data in a completed format that is generated by the server using a template engine.

[0169] "Printing" refers to the act of outputting generated data onto physical paper or the like.

[0170] "Electronic means" refers to the method of distributing generated data using digital means such as email or social media.

[0171] A "brick and mortar store" is a physical commercial establishment that offers goods and services directly to customers.

[0172] The system for implementing this invention is designed to enable store staff to efficiently create and distribute notices and campaign information. The specific configuration and operation of this system are described below.

[0173] System configuration

[0174] This system consists of a terminal used by users (store staff) and a server that analyzes and processes data. It also includes software components such as an NLP engine, a template engine, and a database.

[0175] Hardware: Smartphones, servers

[0176] Software: Dedicated applications, NLP engines (e.g., spaCy), template engines (e.g., Jinja2), databases (e.g., MySQL (registered trademark))

[0177] Program processing

[0178] 1. The user uses the dedicated application to enter the topic of the announcement or campaign information they want to create. For example, they can enter "Announcement of summer sale."

[0179] 2. The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[0180] 3. The server analyzes the received data. It uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "summer" and "sale" are extracted.

[0181] 4. The server selects related illustrations from the database based on the extracted keywords. For example, illustrations of "summer scenery" or "sale signs" are selected.

[0182] 5. The server uses a template engine to set up a layout including the topic, selected illustrations, main text, and seasonal columns.

[0183] 6. The server sends the generated data in PDF or HTML format to the terminal and displays it to the user.

[0184] 7. The user reviews and edits the generated data and finally stores it for distribution by print or electronic means.

[0185] Specific examples

[0186] For example, if a user enters the topic "Summer Sale Announcements," the system will do the following based on this topic:

[0187] 1. A user enters the topic "Summer sale starts next Friday" in a dedicated application.

[0188] 2. The device sends this information in JSON format to the server.

[0189] 3. The server extracts the keywords "summer" and "sale" using an NLP engine.

[0190] 4. The server selects illustrations of "summer scenery" and "sale signs" from a database based on the keywords.

[0191] 5. The server generates a layout with the title "Announcement of summer sale," the body "Summer sale starts next Friday...," an illustration, and a seasonal column "Introducing recommended summer products."

[0192] 6. The terminal displays the generated data to the user, who adds the date and time of the sale.

[0193] 7. After the user has finished editing, they save it in PDF format and print or distribute it via social media.

[0194] Prompt Sentence Examples

[0195] For example, here's a prompt we can use for the NLP engine:

[0196] Topic: "Summer Sale Announcement"

[0197] Extract keywords and select related illustrations and columns.

[0198] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0199] Step 1:

[0200] Using a dedicated application, users enter text about the topic of the announcement or campaign information they want to create.

[0201] Input: The topic "Summer Sale Announcement".

[0202] Output: Topic data in text format.

[0203] Specific behavior: The user launches the smartphone app and enters "Summer sale announcement" in the text input field.

[0204] Step 2:

[0205] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[0206] Input: Topic data, User ID, Store ID.

[0207] Output: The request in JSON format.

[0208] What it does: The application takes the text and metadata entered by the user, structures it, and sends it to the server as an HTTP request.

[0209] Step 3:

[0210] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic.

[0211] Input: Request data in JSON format.

[0212] Output: Extracted keywords (e.g. "summer" or "sale").

[0213] What it does: The server uses an NLP engine (e.g., spaCy) to analyze the received text data and extract important keywords.

[0214] Step 4:

[0215] The server selects related illustrations from a database based on the extracted keywords.

[0216] Input: Keywords (e.g. "summer" or "sale").

[0217] Output: Selected illustration data.

[0218] Specific operation: The server queries the database, searches for illustrations that match the keywords, and selects the appropriate illustration.

[0219] Step 5:

[0220] The server uses a template engine to set up a layout that includes the topic, selected illustrations, body text, and seasonal columns.

[0221] Input: Topic data, illustration data, related text (including seasonal columns).

[0222] Output: The generated layout data.

[0223] Specific operation: The server uses a template engine (e.g. Jinja2) to pass the given data through a template and generate formatted layout data.

[0224] Step 6:

[0225] The server sends the generated data to the terminal in PDF or HTML format.

[0226] Input: The generated layout data.

[0227] Output: Data in PDF or HTML format.

[0228] Specific operation: The server converts the generated layout data into PDF or HTML format and sends it to the terminal as an HTTP response.

[0229] Step 7:

[0230] The terminal displays the generated data to the user, who then reviews and edits the data.

[0231] Input: Data in PDF or HTML format.

[0232] Output: The data reviewed and edited by the user.

[0233] Specific behavior: The application renders the PDF or HTML data, and the user modifies any parts that need editing through the interface.

[0234] Step 8:

[0235] The user then stores the final generated data and distributes it by print or electronic means.

[0236] Input: Edited PDF or HTML data.

[0237] Output: Data stored, printed or electronically distributed.

[0238] Specific behavior: The user presses the save button to save the completed data to the device, and distributes the data using the print or email function as needed.

[0239] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0240] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters, and is also equipped with a function to recognize the user's emotions. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[0241] System Overview

[0242] Based on topic data entered by the user (educator), the server automatically adds appropriate illustrations and seasonal columns, and generates class newsletters and letters in an easy-to-read layout.The system also has a function that recognizes emotions from the user's input data and adjusts the layout and illustration selection based on the emotion.

[0243] Program processing explanation

[0244] Entering and sending topics

[0245] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they can input "Announcement of Autumn Field Trip."

[0246] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[0247] Topic analysis and keyword extraction

[0248] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, it extracts keywords such as "autumn" and "field trip."

[0249] Emotion Analysis

[0250] The server uses an emotion engine to recognize the user's emotions from the input topic data. For example, if the topic contains positive emotions, it selects appropriate messages and illustrations.

[0251] Illustration selection

[0252] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions. For example, illustrations of "Autumn Scenery" or "Snapshots of an Excursion" are selected from the database.

[0253] Layout settings and column generation

[0254] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[0255] The server considers the user's emotions and adjusts the layout to provide bright colors and fun illustrations for positive emotions, and soft colors and a sense of security for negative emotions.

[0256] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Nature Observation" for first graders and a column called "Autumn Historical Background" for sixth graders.

[0257] Sending and Displaying Data

[0258] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[0259] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0260] Editing and Distribution

[0261] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[0262] The final class newsletter or letter can be printed or distributed by email by the user.

[0263] Specific examples

[0264] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0265] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0266] 2. The device sends this information to the server in JSON format.

[0267] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0268] 4. The server detects positive emotions using the emotion engine.

[0269] 5. The server selects illustrations of "autumn scenery" and "group on a field trip" from a database based on keywords and emotions.

[0270] 6. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're going on an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Autumn Nature Observation." The layout is adjusted by selecting bright colors to emphasize a positive image.

[0271] 7. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0272] 8. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0273] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules, and its emotion engine enables it to provide more appropriate information to users.

[0274] The processing flow will be explained below.

[0275] Step 1:

[0276] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[0277] Step 2:

[0278] The device sends the input topic data to the server as a JSON-formatted request, which includes the topic text data, user ID, school ID, and other metadata.

[0279] Step 3:

[0280] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topic and extract context and important keywords. For example, keywords such as "autumn" and "field trip" are extracted.

[0281] Step 4:

[0282] The server uses an emotion engine to recognize the user's emotion from the input topic data. For example, if the topic is cheerful and fun, it detects positive emotion.

[0283] Step 5:

[0284] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions, such as "autumn scenery" or "group photo on a field trip."

[0285] Step 6:

[0286] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[0287] Step 7:

[0288] The server adjusts the layout based on the emotion: for example, positive emotions are represented with bright colors and cheerful illustrations, while negative emotions are represented with soft colors and a reassuring design.

[0289] Step 8:

[0290] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[0291] Step 9:

[0292] The server combines these elements to generate the final class newsletter or letter, which is output in PDF or HTML format.

[0293] Step 10:

[0294] The server transmits the generated data to the terminal.

[0295] Step 11:

[0296] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0297] Step 12:

[0298] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[0299] Step 13:

[0300] The user prints the final class newsletter or letter and distributes it by email.

[0301] Example 2

[0302] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0303] Traditional educational communication creation systems required teachers to create correspondence and letters from scratch, which was often time-consuming and laborious. Furthermore, content was not optimized for emotions or grade levels, and information was provided uniformly, making it difficult to meet individual needs. Furthermore, these systems required manual selection of visual elements and layout settings, resulting in low creation efficiency.

[0304] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0305] In this invention, the central processing unit includes: means for a user to input a theme for educational communications; means for a terminal to transmit the input theme data to the central processing unit; means for the central processing unit to analyze the received theme data and extract related keywords; means for the central processing unit to analyze the user's emotions from the theme data; means for the central processing unit to select appropriate visual elements from a database based on the extracted keywords and analyzed emotions; means for the central processing unit to set a layout using a template engine and insert a specified theme, selected visual elements, and seasonal articles; means for the central processing unit to transmit the generated data to the terminal; and means for the terminal to display the generated data to the user and for the user to confirm and edit the data. This enables teachers to efficiently create high-quality educational communications and newsletters, and to provide optimal information according to emotions and grade levels.

[0306] "Educational communications" are documents used by teachers to provide information to students and parents, and include class newsletters and letters.

[0307] "Theme" refers to the topic or subject matter covered in educational communications.

[0308] The term "terminal" refers to a device that functions as an input device and a display device, such as a computer or mobile device operated by a user.

[0309] "Central processing unit" refers to a device that processes and manages data, such as a server or cloud computing system.

[0310] "Analysis" refers to the process of analyzing received data to understand its meaning and relevance.

[0311] "Keywords" refer to important words or phrases extracted from the thematic data.

[0312] "Emotion" refers to a state of mind, such as positive, negative, or neutral, recognized from the user's input data.

[0313] "Visual elements" refers to visual content such as illustrations and images inserted into educational communications.

[0314] "Template engine" refers to software that dynamically generates content based on a predefined layout.

[0315] "Layout" refers to the overall structure and arrangement of educational communications.

[0316] A "seasonal article" is a short document that covers information or topics related to the season.

[0317] "Database" refers to a system for storing and managing visual elements and articles.

[0318] "Validation" refers to the process by which a user checks the accuracy of the generated educational communication.

[0319] "Editing" refers to the process in which a user adds or modifies content to a generated educational communication.

[0320] The system for implementing this invention is designed to enable teachers and educators to efficiently create high-quality educational communications and is equipped with a user emotion recognition function. The system consists of a terminal, a server, and a database. It also automatically selects and generates appropriate visual elements and seasonal articles based on input topic data.

[0321] The user inputs the theme of the educational communication (for example, "Announcement of Autumn Field Trip") using the device. The device converts the input theme data into JSON format, adds metadata such as the user ID and school ID, and sends it to the server.

[0322] The server parses the received JSON data, which involves extracting important keywords from the text data using a natural language processing (NLP) engine (e.g., NLTK or SpaCy), and simultaneously analyzes the user's emotions from the text data using an emotion engine (e.g., Hugging Face Transformers).

[0323] Based on the extracted keywords and the recognized emotions, the server accesses a database to select appropriate visual elements (e.g., illustrations of "Autumn Scenery" or "Outing Snapshots"). The database is accessed using SQL queries.

[0324] Next, the server uses a template engine (e.g., Jinja2) to set the layout of the educational newsletter. The layout includes a title, selected visual elements, the main text, and seasonal articles. Based on the emotion recognition results, the server applies bright colors and cheerful illustrations for positive emotions, and soft colors and a reassuring design for negative emotions. For example, an article about "nature observation in autumn" is automatically generated and inserted for first-grade students.

[0325] The server generates the completed educational communication data in PDF or HTML format and sends it to the device. The device displays the generated data on a dedicated application, and the user can check the displayed content and make corrections to the text or adjust the layout as necessary.

[0326] Once the user has completed editing, they can save the educational communication data in PDF or HTML format. The user can then distribute this data to parents and guardians by printing or email. Printing is done using a printer connected to the device, and email distribution is done using a dedicated email sending function.

[0327] Examples:

[0328] If a user types, "I'm looking forward to our autumn field trip next Friday," the server extracts keywords like "autumn" and "field trip" and recognizes positive emotions. Based on this, the server selects illustrations of "autumn scenery" and "field trip groups" and adjusts the layout with bright colors. It then generates and inserts an article titled "Autumn Nature Observation" for first-graders.

[0329] This system allows teachers to efficiently create high-quality educational communications, providing optimal information tailored to students' emotions and grade levels.

[0330] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0331] Step 1:

[0332] The user launches a dedicated application and inputs the theme of the educational communication. When the user inputs "Autumn field trip announcement," the device acquires this information. The input includes text data for the theme. The device converts this input data into JSON format and adds metadata such as the user ID and school ID. The output is request data in JSON format.

[0333] Step 2:

[0334] The terminal sends the generated JSON formatted request data to the server. The protocol used here is HTTP or HTTPS. The input contains the JSON formatted request data generated by the terminal. The server receives this request and prepares for analysis. The output is that the data has been transmitted to the server.

[0335] Step 3:

[0336] The server parses the received JSON data and uses a natural language processing (NLP) engine (such as NLTK or SpaCy) to extract important keywords from the text data. The input includes text data in JSON format. Specifically, the server extracts keywords such as "autumn" and "field trip." The output is a list of the extracted keywords.

[0337] Step 4:

[0338] The server uses an emotion engine (such as Hugging Face Transformers) to recognize the user's emotion from the input theme. The input includes text data. Specifically, positive emotion is detected from the sentence "I'm looking forward to the autumn field trip." The output is information about the recognized emotion.

[0339] Step 5:

[0340] The server accesses a database to select appropriate visual elements based on the extracted keywords and recognized emotions. The input includes a list of keywords and emotion information. Specifically, the server selects illustrations such as "Autumn Scenery" and "Snapshot of a Field Trip" and retrieves the corresponding data using an SQL query. The output is a list of selected visual elements.

[0341] Step 6:

[0342] The server uses a template engine (such as Jinja2) to set the layout of the educational newsletter. The input includes selected visual elements, extracted keywords, and recognized emotions. Specifically, the server generates a layout including a title, body text, illustrations, and seasonal articles, and uses bright colors for positive emotions. The output is the final layout data.

[0343] Step 7:

[0344] The server generates the completed layout data in PDF or HTML format and sends it to the terminal. The input includes the final layout data. The terminal displays the data received from the server. Specifically, it provides a screen that allows the user to review the generated educational communication. The output includes the educational communication displayed to the user.

[0345] Step 8:

[0346] The user checks the displayed content and,if necessary, corrects the text or adjusts the layout.,The input includes the content of the displayed educational,communication.,After the user makes the corrections, the final data is saved,in PDF or HTML format.,The output is the saved final educational communication data.

[0347] Step 9:

[0348] The user finally prints or emails the saved educational communication. The input includes the saved educational communication data. The user prints using a printer connected to the device or emails the educational communication using an email sending function. The output includes the printed document or the educational communication distributed in email format.

[0349] (Application example 2)

[0350] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0351] The purpose of this invention is to provide an efficient, high-quality communication tool for educational institutions and brick-and-mortar stores. In particular, it aims to solve the problem of providing information that takes into account the topic content and user emotions when educators want to quickly and efficiently create class newsletters and letters, or when store staff want to automatically generate information to smoothly handle customers.

[0352] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0353] In this invention, the server includes: means for a user to input a text topic for a class newsletter or letter; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to recognize the user's emotions using an emotion engine; means for the server to select an appropriate illustration from a database based on the extracted keywords and the recognized emotions; means for the server to set a layout using a template engine and insert a specified topic, selected illustrations, and seasonal columns; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the terminal to display the content of the conversation with the customer to staff as product information adjusted based on the emotion. This enables the creation of high-quality class newsletters and letters that take emotions into consideration based on the user's topic input, and efficient and appropriate customer service in physical stores.

[0354] "Users" are educators who use the system to create class newsletters and letters, or store staff who deal with customers in physical stores.

[0355] A "terminal" is a device operated by a user, and includes hardware such as a smartphone, tablet, or PC.

[0356] "Topic data" refers to the contents of class newsletters or letters entered by users, or customer service requests or consultations.

[0357] "Server" refers to a computer system that receives topic data, analyzes it, and generates the necessary information.

[0358] A "natural language processing engine" is a software engine used by the server to extract keywords from topic data.

[0359] An "emotion engine" is a software engine that recognizes emotions from user input data and reflects them in content.

[0360] A "database" is a storage device that the server accesses and stores related information, illustrations, etc.

[0361] A "template engine" is software used by the server to generate layouts by inserting specified topics and illustrations.

[0362] "Layout" refers to the appearance and structure of the generated class newsletter or letter, and includes the title, main text, illustrations, columns, etc.

[0363] "Seasonal columns" are information or articles related to a particular season that are automatically inserted into class newsletters and letters.

[0364] "Product information" refers to data about products that store staff present to customers, including prices, descriptions, promotional information, etc.

[0365] A "customer" is a consumer who visits a physical store to purchase a product or service.

[0366] The system of the present invention is useful for educators who want to efficiently create class newsletters and letters, and for customer service in brick-and-mortar stores. The entire system is composed of multiple elements, such as users, terminals, a server, a natural language processing engine, an emotion engine, a database, and a template engine.

[0367] Program processing

[0368] User

[0369] Users use the system to input text such as topics for class newsletters or letters, or customer service requests or inquiries, using devices such as smartphones, tablets, or PCs.

[0370] Terminal

[0371] The terminal is responsible for sending the data entered by the user to the server as a JSON-formatted request, including the user ID and other metadata, and for displaying the generated data received from the server to the user, allowing them to review and edit the data.

[0372] server

[0373] The server analyzes the received data and runs a natural language processing engine to extract relevant keywords. This engine understands the content of the text and extracts important keywords. It also uses an emotion engine to recognize emotions from the user's input data, allowing it to make appropriate adjustments in content creation.

[0374] The server then selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. This database stores various illustrations, product information, and promotional data. The selected illustrations and product information are then used to set up a layout using a template engine. The specified topic, the selected illustrations, and seasonal columns are inserted to generate the final layout.

[0375] Template Engines and Databases

[0376] The template engine is software used by the server to generate layouts by inserting specified topics and illustrations. The layout includes a title, main text, illustrations, columns, etc., and is adjusted appropriately according to the user's sentiment and topic. The database is a storage device that the server accesses and stores related information, illustrations, etc.

[0377] Specific examples

[0378] For example, if a user enters "I'm looking for a gift for a special occasion," the system will do the following:

[0379] 1. User types, "I'm looking for a gift for a special occasion."

[0380] 2. The device sends this data in JSON format to the server.

[0381] 3. The server uses a natural language processing engine to extract the keywords "special day" and "present."

[0382] 4. The emotion engine recognizes positive emotions.

[0383] 5. Select "luxury chocolate," "wine with special label," and "custom-made gifts" from the database and generate a layout using a template engine.

[0384] 6. The device displays the generated data to the user, who edits the information as needed.

[0385] Prompt Sentence Examples

[0386] A specific example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Such a prompt sentence allows the system to automatically generate appropriate product information and present it to the user.

[0387] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0388] Step 1:

[0389] The user inputs the topic of the class newsletter or letter as text. Specifically, the user inputs text information into an input field using a device such as a smartphone, tablet, or PC. This input data includes requests and inquiries regarding education and customer service. An example of input data is "Looking for a gift for a special occasion."

[0390] Input: Text data entered by the user

[0391] Output: Topic data entered in the terminal

[0392] Step 2:

[0393] The device converts the input topic data into JSON format and sends it to the server, including the user ID and other metadata. This process structures the topic data, making it easier for the server to parse.

[0394] Input: Entered topic data, user ID, metadata

[0395] Output: JSON representation of the request sent to the server

[0396] Step 3:

[0397] The server analyzes the received topic data and uses a natural language processing engine to extract important keywords from the text data, using an NLP model to analyze the meaning of the text and identify key keywords.

[0398] Input: The JSON formatted request sent to the server

[0399] Output: Extracted keywords

[0400] Step 4:

[0401] The server recognizes the user's emotions based on the extracted keywords using an emotion engine, which analyzes the tone and context of the text to identify positive, negative, neutral, and other emotions.

[0402] Input: Extracted keywords

[0403] Output: Recognized emotion

[0404] Step 5:

[0405] The server selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. The server searches the database for related illustrations and product information, and selects the item that best matches the user's input and emotion.

[0406] Input: extracted keywords, recognized sentiment

[0407] Output: Selected illustrations and product information

[0408] Step 6:

[0409] The server sets the layout using a template engine. The specified topic, selected illustrations, and seasonal columns are inserted into the template to generate the final layout. The template engine adjusts the layout and color tone based on the user's emotions.

[0410] Input: Selected illustrations, product information, designated topics, seasonal columns

[0411] Output: The generated layout

[0412] Step 7:

[0413] The server sends the generated data to the terminal, where it is encoded in PDF or HTML format and sent for user access.

[0414] Input: Generated layout

[0415] Output: Data sent to the terminal

[0416] Step 8:

[0417] The terminal displays the generated data to the user, who can then confirm and edit the data. The user can confirm the generated data and adjust the text and layout as necessary.

[0418] Input: Generated data

[0419] Output: Data displayed to the user

[0420] Examples of prompts:

[0421] An example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Based on this prompt, the user can input more specific requests or situations into the system.

[0422] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0423] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0424] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0425] [Second embodiment]

[0426] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0427] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0428] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0429] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0430] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0431] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0432] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0433] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0434] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0435] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0436] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0437] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0438] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[0439] System Overview

[0440] This system has the function of automatically adding appropriate illustrations and seasonal columns to the server based on topic data entered by the user (teacher or educator), and generating class newsletters and letters in an easy-to-read layout. The specific operation is shown below.

[0441] Program processing explanation

[0442] Entering and sending topics

[0443] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they might input "Announcement of Autumn Field Trip."

[0444] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[0445] Topic analysis and keyword extraction

[0446] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are extracted.

[0447] Illustration selection

[0448] The server selects related illustrations from a database based on the extracted keywords. For example, illustrations of "autumn scenery" or "field trip scenes" are selected from the database.

[0449] Layout settings and column generation

[0450] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[0451] The server automatically generates seasonal columns according to the grade level. For example, a column titled "Autumn Plant Observation" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[0452] Sending and Displaying Data

[0453] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[0454] The terminal displays the received data to the user, who can then review it and edit it as necessary.

[0455] Editing and Distribution

[0456] After the user has finished editing, they can save the final class newsletter or letter, which can then be printed on paper or distributed via email.

[0457] Specific examples

[0458] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0459] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0460] 2. The device sends this information to the server in JSON format.

[0461] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0462] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[0463] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[0464] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0465] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0466] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[0467] The processing flow will be explained below.

[0468] Step 1:

[0469] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[0470] Step 2:

[0471] The device sends the entered topic data to the server as a JSON-formatted request, which includes the topic text data and metadata such as the user ID and school ID.

[0472] Step 3:

[0473] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topics and extract keywords. For example, it extracts keywords such as "autumn" and "field trip."

[0474] Step 4:

[0475] The server selects relevant illustrations from a database based on keywords, for example, "autumn scenery" or "group scene on a field trip."

[0476] Step 5:

[0477] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[0478] Step 6:

[0479] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[0480] Step 7:

[0481] The server combines the layout and column information to generate the final class newsletter or letter data, which is in PDF or HTML format.

[0482] Step 8:

[0483] The server transmits the generated data to the terminal.

[0484] Step 9:

[0485] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0486] Step 10:

[0487] The user then performs a final check and saves the edited class newsletter or letter in PDF or HTML format.

[0488] Step 11:

[0489] The final class newsletter or letter can be printed or distributed by email by the user.

[0490] Example 1

[0491] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0492] In the educational field, teachers and educators often find it time-consuming and laborious to create class newsletters and letters. It's especially difficult for busy teachers to do this efficiently. Enhancing the content's appearance and information quality is also a major challenge. Furthermore, there is a lack of a way to automatically update content according to the season or grade level, making it difficult for the quality of the documents created to be consistent.

[0493] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0494] In this invention, the server includes: a means for a user to input a topic for a correspondence document as text; a means for a terminal to transmit the input topic data to a processing device; a means for the processing device to analyze the received topic data and extract relevant keywords; a means for the processing device to select appropriate image data from a data storage device based on the extracted keywords; a means for the processing device to set a layout using a template construction device and insert the specified topic, selected image data, and seasonal information; a means for the processing device to transmit the generated data to the terminal; and a means for the terminal to display the generated data to the user, allowing the user to confirm and edit the data. This allows users to efficiently create high-quality class newsletters and letters, improving the richness and appearance of the content. Furthermore, content appropriate for the season and grade level can be automatically reflected, ensuring consistent quality in the created documents.

[0495] A "user" is an entity that inputs correspondence topics and reviews and edits the generated data.

[0496] "Correspondence documents" are documents used to convey information, such as class newsletters and letters.

[0497] A "terminal" is a device that transmits topic data entered by a user to a server, and receives and displays the generated data.

[0498] The "processing device" is a device that analyzes topic data sent from a terminal, extracts related keywords, selects image data, and sets layouts using templates.

[0499] "Keywords" are important words and phrases extracted from the topic of a correspondence.

[0500] "Image data" refers to visual information such as illustrations and photographs selected to enhance the appearance of correspondence.

[0501] A "data storage device" is a device that stores information necessary for generating correspondence, such as image data and templates.

[0502] A "template construction device" is a device for setting the layout of correspondence documents and inserting the text, image data, and seasonal information.

[0503] "Seasonal information" is a column or description related to a particular season.

[0504] "Generated data" refers to correspondence data that is generated by the server based on user input and sent to the terminal.

[0505] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. The program processing of this system is explained in detail below in natural language.

[0506] Program processing explanation

[0507] Entering and sending topics

[0508] The user opens a dedicated application and enters the topic of a class newsletter or letter. For example, they enter "Announcement of autumn field trip." The device then sends a JSON-formatted request to the server, including the topic data received from the user and metadata such as the user ID and school ID. The device used can be a regular computer or smartphone.

[0509] Topic analysis and keyword extraction

[0510] The server analyzes the JSON data received from the device. A natural language processing (NLP) engine (such as SpaCy or NLTK) is used to extract important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are analyzed. The server hardware is a regular server machine, and the software uses the NLP engine mentioned above.

[0511] Illustration selection

[0512] Based on the extracted keywords, the server selects relevant illustrations from a database (e.g., AWS S3 or Google Cloud Storage). The system selects illustrations of "autumn scenery" and "field trip scenes" from the database. The server executes SQL queries against the database to retrieve the appropriate illustration data.

[0513] Layout settings and column generation

[0514] The server uses a template engine (e.g., Jinja2 or Handlebars) to automatically generate the layout of a class newsletter or letter. This layout includes a title, selected illustrations, the main text, and a seasonal column. The server uses a generative AI model (e.g., GPT-4) to generate the seasonal column according to the grade level. For example, a column titled "Observing Autumn Plants" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[0515] An example of a prompt is:

[0516] "The topic entered by the user is 'Autumn Field Trip Announcement'. Please generate a detailed explanation of autumn plant observation for first graders."

[0517] "Write a column for sixth graders that gives historical background on autumn."

[0518] Such as are used.

[0519] Sending and Displaying Data

[0520] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. The terminal displays the received data to the user, allowing the user to check and edit the content. Examples of PDF generation libraries used include WeasyPrint and ReportLab. The terminal has a viewer application for displaying the generated data.

[0521] Editing and Distribution

[0522] After the user checks the content and makes any necessary edits, the final class newsletter or letter is saved. The user can print this data on paper or distribute it via email. The saving location can be a local disk or cloud storage.

[0523] Specific examples

[0524] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0525] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0526] 2. The device sends this information to the server in JSON format.

[0527] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0528] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[0529] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[0530] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0531] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0532] In this way, this system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[0533] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0534] Step 1:

[0535] The user opens a dedicated application and inputs the topic of the class newsletter or letter. The user enters "We will be holding an autumn field trip next Friday" in the application's input field and presses the "Send" button. The input data is text data titled "Announcement of autumn field trip."

[0536] Step 2:

[0537] The device converts the input topic data into JSON format and sends it to the server. Specifically, the device receives the user's input, generates a JSON format request including metadata such as the user ID and school ID, and sends it to the server's API endpoint (for example, https: / / example.com / api / gakkyucommunication). The input is the user's topic data, and the output is a JSON format request.

[0538] Step 3:

[0539] The server parses the JSON data received from the device. The server deserializes the received JSON data and uses a natural language processing (NLP) engine (e.g., SpaCy or NLTK) to extract important keywords and context from the topic. The input is the received JSON data, and the output is the extracted keywords (e.g., "autumn," "field trip," etc.).

[0540] Step 4:

[0541] The server selects relevant illustrations from a database based on the extracted keywords. The server uses the keywords to query a database (e.g., AWS S3 or Google Cloud Storage) and retrieves the URL or binary data of the most relevant illustration. The input is the extracted keywords, and the output is the selected illustration data (e.g., an image URL for "Autumn Scenery"). Specific operations include executing SQL queries or API requests.

[0542] Step 5:

[0543] The server uses a template engine to set the layout of the document to be generated and inserts the specified topic, selected illustrations, and seasonal columns. The server inputs the topic, text, and illustration URL to the template engine (e.g., Jinja2 or Handlebars), inputs the prompt "Generate a detailed explanation of autumn plant observations for first-graders" to the generative AI model (e.g., GPT-4), and inserts the generated text into the template. The input is the topic data, illustration data, and seasonal column generation prompt, and the output is the completed template layout.

[0544] Step 6:

[0545] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. It uses a PDF generation library (for example, WeasyPrint or ReportLab) to convert the generated layout into PDF format and sends this PDF data to the terminal. The input is the completed template layout and the output is PDF data. Specifically, it converts the output of the template engine into PDF format and sends it to the terminal as an HTTP response.

[0546] Step 7:

[0547] The terminal displays the received PDF data to the user, allowing the user to check and edit the content. The terminal opens the received PDF data in a display application (e.g., Adobe Reader) and shows it to the user. The input is the PDF data received from the server, and the output is the PDF content displayed to the user. Specific operations include launching the PDF display application and the user using an editing tool to modify the content.

[0548] Step 8:

[0549] The user checks and edits the content and saves the final class newsletter or letter. The user uses the editing tools to modify the PDF displayed on the device, presses the "Save" button, and saves the final PDF to a local disk or cloud storage. The input is the PDF content edited by the user, and the output is the saved final PDF data. The user can print this saved data or distribute it by email.

[0550] (Application example 1)

[0551] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0552] In today's commercial environment, it is difficult for brick-and-mortar stores to effectively and quickly communicate the latest information and campaigns to customers. Store staff, in particular, are busy, and need a way to efficiently create and distribute high-quality announcements. Furthermore, manually selecting the appropriate layout and illustrations for each topic is extremely time-consuming, reducing overall work efficiency. To solve these problems, there is a need for a system that allows brick-and-mortar store staff to easily and efficiently create and distribute announcements and campaign information.

[0553] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0554] In this invention, the server includes: means for a user to input a topic as text; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to select appropriate illustrations from a database based on the extracted keywords; means for the server to set a layout using a template engine and insert the specified topic, the selected illustrations, and a seasonal column; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the user to finally save the generated data and distribute it by print or electronic means. This enables staff at physical stores to quickly and efficiently create high-quality guides and campaign information and distribute it in the required format.

[0555] "User" means any person or entity that uses the System to enter text about topics and review and edit the generated data.

[0556] A "topic" is a specific piece of information or theme entered by a user, such as an event announcement or campaign information.

[0557] A "terminal" refers to an input device or display device used by a user, and includes smartphones, tablets, personal computers, etc.

[0558] "Server" refers to a central computer system that receives data sent from terminals, analyzes, processes, and manages the database.

[0559] "Keywords" are important words and phrases extracted by the server by analyzing the topic data it receives.

[0560] "Illustrations" refers to images or diagrams selected from a database related to the topic or keywords entered by the user.

[0561] A "template engine" is software that manages and generates fixed layouts, and is responsible for properly arranging topics, illustrations, columns, etc.

[0562] "Layout" refers to the specific arrangement and design of the generated announcements and campaign information.

[0563] A "seasonal column" is text or information related to a specific season or time of year, and is automatically generated according to the attributes of the target user.

[0564] "Generated data" refers to information data in a completed format that is generated by the server using a template engine.

[0565] "Printing" refers to the act of outputting generated data onto physical paper or the like.

[0566] "Electronic means" refers to the method of distributing generated data using digital means such as email or social media.

[0567] A "brick and mortar store" is a physical commercial establishment that offers goods and services directly to customers.

[0568] The system for implementing this invention is designed to enable store staff to efficiently create and distribute notices and campaign information. The specific configuration and operation of this system are described below.

[0569] System configuration

[0570] This system consists of a terminal used by users (store staff) and a server that analyzes and processes data. It also includes software components such as an NLP engine, a template engine, and a database.

[0571] Hardware: Smartphones, servers

[0572] Software: Dedicated applications, NLP engines (e.g., spaCy), template engines (e.g., Jinja2), databases (e.g., MySQL)

[0573] Program processing

[0574] 1. The user uses the dedicated application to enter the topic of the announcement or campaign information they want to create. For example, they can enter "Announcement of summer sale."

[0575] 2. The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[0576] 3. The server analyzes the received data. It uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "summer" and "sale" are extracted.

[0577] 4. The server selects related illustrations from the database based on the extracted keywords. For example, illustrations of "summer scenery" or "sale signs" are selected.

[0578] 5. The server uses a template engine to set up a layout including the topic, selected illustrations, main text, and seasonal columns.

[0579] 6. The server sends the generated data in PDF or HTML format to the terminal and displays it to the user.

[0580] 7. The user reviews and edits the generated data and finally stores it for distribution by print or electronic means.

[0581] Specific examples

[0582] For example, if a user enters the topic "Summer Sale Announcements," the system will do the following based on this topic:

[0583] 1. A user enters the topic "Summer sale starts next Friday" in a dedicated application.

[0584] 2. The device sends this information in JSON format to the server.

[0585] 3. The server extracts the keywords "summer" and "sale" using an NLP engine.

[0586] 4. The server selects illustrations of "summer scenery" and "sale signs" from a database based on the keywords.

[0587] 5. The server generates a layout with the title "Announcement of summer sale," the body "Summer sale starts next Friday...," an illustration, and a seasonal column "Introducing recommended summer products."

[0588] 6. The terminal displays the generated data to the user, who adds the date and time of the sale.

[0589] 7. After the user has finished editing, they save it in PDF format and print or distribute it via social media.

[0590] Prompt Sentence Examples

[0591] For example, here's a prompt we can use for the NLP engine:

[0592] Topic: "Summer Sale Announcement"

[0593] Extract keywords and select related illustrations and columns.

[0594] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0595] Step 1:

[0596] Using a dedicated application, users enter text about the topic of the announcement or campaign information they want to create.

[0597] Input: The topic "Summer Sale Announcement".

[0598] Output: Topic data in text format.

[0599] Specific behavior: The user launches the smartphone app and enters "Summer sale announcement" in the text input field.

[0600] Step 2:

[0601] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[0602] Input: Topic data, User ID, Store ID.

[0603] Output: The request in JSON format.

[0604] What it does: The application takes the text and metadata entered by the user, structures it, and sends it to the server as an HTTP request.

[0605] Step 3:

[0606] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic.

[0607] Input: Request data in JSON format.

[0608] Output: Extracted keywords (e.g. "summer" or "sale").

[0609] What it does: The server uses an NLP engine (e.g., spaCy) to analyze the received text data and extract important keywords.

[0610] Step 4:

[0611] The server selects related illustrations from a database based on the extracted keywords.

[0612] Input: Keywords (e.g. "summer" or "sale").

[0613] Output: Selected illustration data.

[0614] Specific operation: The server queries the database, searches for illustrations that match the keywords, and selects the appropriate illustration.

[0615] Step 5:

[0616] The server uses a template engine to set up a layout that includes the topic, selected illustrations, body text, and seasonal columns.

[0617] Input: Topic data, illustration data, related text (including seasonal columns).

[0618] Output: The generated layout data.

[0619] Specific operation: The server uses a template engine (e.g. Jinja2) to pass the given data through a template and generate formatted layout data.

[0620] Step 6:

[0621] The server sends the generated data to the terminal in PDF or HTML format.

[0622] Input: The generated layout data.

[0623] Output: Data in PDF or HTML format.

[0624] Specific operation: The server converts the generated layout data into PDF or HTML format and sends it to the terminal as an HTTP response.

[0625] Step 7:

[0626] The terminal displays the generated data to the user, who then reviews and edits the data.

[0627] Input: Data in PDF or HTML format.

[0628] Output: The data reviewed and edited by the user.

[0629] Specific behavior: The application renders the PDF or HTML data, and the user modifies any parts that need editing through the interface.

[0630] Step 8:

[0631] The user then stores the final generated data and distributes it by print or electronic means.

[0632] Input: Edited PDF or HTML data.

[0633] Output: Data stored, printed or electronically distributed.

[0634] Specific behavior: The user presses the save button to save the completed data to the device, and distributes the data using the print or email function as needed.

[0635] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0636] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters, and is also equipped with a function to recognize the user's emotions. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[0637] System Overview

[0638] Based on topic data entered by the user (educator), the server automatically adds appropriate illustrations and seasonal columns, and generates class newsletters and letters in an easy-to-read layout.The system also has a function that recognizes emotions from the user's input data and adjusts the layout and illustration selection based on the emotion.

[0639] Program processing explanation

[0640] Entering and sending topics

[0641] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they can input "Announcement of Autumn Field Trip."

[0642] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[0643] Topic analysis and keyword extraction

[0644] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, it extracts keywords such as "autumn" and "field trip."

[0645] Emotion Analysis

[0646] The server uses an emotion engine to recognize the user's emotions from the input topic data. For example, if the topic contains positive emotions, it selects appropriate messages and illustrations.

[0647] Illustration selection

[0648] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions. For example, illustrations of "Autumn Scenery" or "Snapshots of an Excursion" are selected from the database.

[0649] Layout settings and column generation

[0650] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[0651] The server considers the user's emotions and adjusts the layout to provide bright colors and fun illustrations for positive emotions, and soft colors and a sense of security for negative emotions.

[0652] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Nature Observation" for first graders and a column called "Autumn Historical Background" for sixth graders.

[0653] Sending and Displaying Data

[0654] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[0655] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0656] Editing and Distribution

[0657] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[0658] The final class newsletter or letter can be printed or distributed by email by the user.

[0659] Specific examples

[0660] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0661] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0662] 2. The device sends this information to the server in JSON format.

[0663] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0664] 4. The server detects positive emotions using the emotion engine.

[0665] 5. The server selects illustrations of "autumn scenery" and "group on a field trip" from a database based on keywords and emotions.

[0666] 6. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're going on an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Autumn Nature Observation." The layout is adjusted by selecting bright colors to emphasize a positive image.

[0667] 7. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0668] 8. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0669] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules, and its emotion engine enables it to provide more appropriate information to users.

[0670] The processing flow will be explained below.

[0671] Step 1:

[0672] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[0673] Step 2:

[0674] The device sends the input topic data to the server as a JSON-formatted request, which includes the topic text data, user ID, school ID, and other metadata.

[0675] Step 3:

[0676] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topic and extract context and important keywords. For example, keywords such as "autumn" and "field trip" are extracted.

[0677] Step 4:

[0678] The server uses an emotion engine to recognize the user's emotion from the input topic data. For example, if the topic is cheerful and fun, it detects positive emotion.

[0679] Step 5:

[0680] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions, such as "autumn scenery" or "group photo on a field trip."

[0681] Step 6:

[0682] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[0683] Step 7:

[0684] The server adjusts the layout based on the emotion: for example, positive emotions are represented with bright colors and cheerful illustrations, while negative emotions are represented with soft colors and a reassuring design.

[0685] Step 8:

[0686] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[0687] Step 9:

[0688] The server combines these elements to generate the final class newsletter or letter, which is output in PDF or HTML format.

[0689] Step 10:

[0690] The server transmits the generated data to the terminal.

[0691] Step 11:

[0692] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0693] Step 12:

[0694] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[0695] Step 13:

[0696] The user prints the final class newsletter or letter and distributes it by email.

[0697] Example 2

[0698] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0699] Traditional educational communication creation systems required teachers to create correspondence and letters from scratch, which was often time-consuming and laborious. Furthermore, content was not optimized for emotions or grade levels, and information was provided uniformly, making it difficult to meet individual needs. Furthermore, these systems required manual selection of visual elements and layout settings, resulting in low creation efficiency.

[0700] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0701] In this invention, the central processing unit includes: means for a user to input a theme for educational communications; means for a terminal to transmit the input theme data to the central processing unit; means for the central processing unit to analyze the received theme data and extract related keywords; means for the central processing unit to analyze the user's emotions from the theme data; means for the central processing unit to select appropriate visual elements from a database based on the extracted keywords and analyzed emotions; means for the central processing unit to set a layout using a template engine and insert a specified theme, selected visual elements, and seasonal articles; means for the central processing unit to transmit the generated data to the terminal; and means for the terminal to display the generated data to the user and for the user to confirm and edit the data. This enables teachers to efficiently create high-quality educational communications and newsletters, and to provide optimal information according to emotions and grade levels.

[0702] "Educational communications" are documents used by teachers to provide information to students and parents, and include class newsletters and letters.

[0703] "Theme" refers to the topic or subject matter covered in educational communications.

[0704] The term "terminal" refers to a device that functions as an input device and a display device, such as a computer or mobile device operated by a user.

[0705] "Central processing unit" refers to a device that processes and manages data, such as a server or cloud computing system.

[0706] "Analysis" refers to the process of analyzing received data to understand its meaning and relevance.

[0707] "Keywords" refer to important words or phrases extracted from the thematic data.

[0708] "Emotion" refers to a state of mind, such as positive, negative, or neutral, recognized from the user's input data.

[0709] "Visual elements" refers to visual content such as illustrations and images inserted into educational communications.

[0710] "Template engine" refers to software that dynamically generates content based on a predefined layout.

[0711] "Layout" refers to the overall structure and arrangement of educational communications.

[0712] A "seasonal article" is a short document that covers information or topics related to the season.

[0713] "Database" refers to a system for storing and managing visual elements and articles.

[0714] "Validation" refers to the process by which a user checks the accuracy of the generated educational communication.

[0715] "Editing" refers to the process in which a user adds or modifies content to a generated educational communication.

[0716] The system for implementing this invention is designed to enable teachers and educators to efficiently create high-quality educational communications and is equipped with a user emotion recognition function. The system consists of a terminal, a server, and a database. It also automatically selects and generates appropriate visual elements and seasonal articles based on input topic data.

[0717] The user inputs the theme of the educational communication (for example, "Announcement of Autumn Field Trip") using the device. The device converts the input theme data into JSON format, adds metadata such as the user ID and school ID, and sends it to the server.

[0718] The server parses the received JSON data, which involves extracting important keywords from the text data using a natural language processing (NLP) engine (e.g., NLTK or SpaCy), and simultaneously analyzes the user's emotions from the text data using an emotion engine (e.g., Hugging Face Transformers).

[0719] Based on the extracted keywords and the recognized emotions, the server accesses a database to select appropriate visual elements (e.g., illustrations of "Autumn Scenery" or "Outing Snapshots"). The database is accessed using SQL queries.

[0720] Next, the server uses a template engine (e.g., Jinja2) to set the layout of the educational newsletter. The layout includes a title, selected visual elements, the main text, and seasonal articles. Based on the emotion recognition results, the server applies bright colors and cheerful illustrations for positive emotions, and soft colors and a reassuring design for negative emotions. For example, an article about "nature observation in autumn" is automatically generated and inserted for first-grade students.

[0721] The server generates the completed educational communication data in PDF or HTML format and sends it to the device. The device displays the generated data on a dedicated application, and the user can check the displayed content and make corrections to the text or adjust the layout as necessary.

[0722] Once the user has completed editing, they can save the educational communication data in PDF or HTML format. The user can then distribute this data to parents and guardians by printing or email. Printing is done using a printer connected to the device, and email distribution is done using a dedicated email sending function.

[0723] Examples:

[0724] If a user types, "I'm looking forward to our autumn field trip next Friday," the server extracts keywords like "autumn" and "field trip" and recognizes positive emotions. Based on this, the server selects illustrations of "autumn scenery" and "field trip groups" and adjusts the layout with bright colors. It then generates and inserts an article titled "Autumn Nature Observation" for first-graders.

[0725] This system allows teachers to efficiently create high-quality educational communications, providing optimal information tailored to students' emotions and grade levels.

[0726] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0727] Step 1:

[0728] The user launches a dedicated application and inputs the theme of the educational communication. When the user inputs "Autumn field trip announcement," the device acquires this information. The input includes text data for the theme. The device converts this input data into JSON format and adds metadata such as the user ID and school ID. The output is request data in JSON format.

[0729] Step 2:

[0730] The terminal sends the generated JSON formatted request data to the server. The protocol used here is HTTP or HTTPS. The input contains the JSON formatted request data generated by the terminal. The server receives this request and prepares for analysis. The output is that the data has been transmitted to the server.

[0731] Step 3:

[0732] The server parses the received JSON data and uses a natural language processing (NLP) engine (such as NLTK or SpaCy) to extract important keywords from the text data. The input includes text data in JSON format. Specifically, the server extracts keywords such as "autumn" and "field trip." The output is a list of the extracted keywords.

[0733] Step 4:

[0734] The server uses an emotion engine (such as Hugging Face Transformers) to recognize the user's emotion from the input theme. The input includes text data. Specifically, positive emotion is detected from the sentence "I'm looking forward to the autumn field trip." The output is information about the recognized emotion.

[0735] Step 5:

[0736] The server accesses a database to select appropriate visual elements based on the extracted keywords and recognized emotions. The input includes a list of keywords and emotion information. Specifically, the server selects illustrations such as "Autumn Scenery" and "Snapshot of a Field Trip" and retrieves the corresponding data using an SQL query. The output is a list of selected visual elements.

[0737] Step 6:

[0738] The server uses a template engine (such as Jinja2) to set the layout of the educational newsletter. The input includes selected visual elements, extracted keywords, and recognized emotions. Specifically, the server generates a layout including a title, body text, illustrations, and seasonal articles, and uses bright colors for positive emotions. The output is the final layout data.

[0739] Step 7:

[0740] The server generates the completed layout data in PDF or HTML format and sends it to the terminal. The input includes the final layout data. The terminal displays the data received from the server. Specifically, it provides a screen that allows the user to review the generated educational communication. The output includes the educational communication displayed to the user.

[0741] Step 8:

[0742] The user checks the displayed content and,if necessary, corrects the text or adjusts the layout.,The input includes the content of the displayed educational,communication.,After the user makes the corrections, the final data is saved,in PDF or HTML format.,The output is the saved final educational communication data.

[0743] Step 9:

[0744] The user finally prints or emails the saved educational communication. The input includes the saved educational communication data. The user prints using a printer connected to the device or emails the educational communication using an email sending function. The output includes the printed document or the educational communication distributed in email format.

[0745] (Application example 2)

[0746] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0747] The purpose of this invention is to provide an efficient, high-quality communication tool for educational institutions and brick-and-mortar stores. In particular, it aims to solve the problem of providing information that takes into account the topic content and user emotions when educators want to quickly and efficiently create class newsletters and letters, or when store staff want to automatically generate information to smoothly handle customers.

[0748] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0749] In this invention, the server includes: means for a user to input a text topic for a class newsletter or letter; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to recognize the user's emotions using an emotion engine; means for the server to select an appropriate illustration from a database based on the extracted keywords and the recognized emotions; means for the server to set a layout using a template engine and insert a specified topic, selected illustrations, and seasonal columns; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the terminal to display the content of the conversation with the customer to staff as product information adjusted based on the emotion. This enables the creation of high-quality class newsletters and letters that take emotions into consideration based on the user's topic input, and efficient and appropriate customer service in physical stores.

[0750] "Users" are educators who use the system to create class newsletters and letters, or store staff who deal with customers in physical stores.

[0751] A "terminal" is a device operated by a user, and includes hardware such as a smartphone, tablet, or PC.

[0752] "Topic data" refers to the contents of class newsletters or letters entered by users, or customer service requests or consultations.

[0753] "Server" refers to a computer system that receives topic data, analyzes it, and generates the necessary information.

[0754] A "natural language processing engine" is a software engine used by the server to extract keywords from topic data.

[0755] An "emotion engine" is a software engine that recognizes emotions from user input data and reflects them in content.

[0756] A "database" is a storage device that the server accesses and stores related information, illustrations, etc.

[0757] A "template engine" is software used by the server to generate layouts by inserting specified topics and illustrations.

[0758] "Layout" refers to the appearance and structure of the generated class newsletter or letter, and includes the title, main text, illustrations, columns, etc.

[0759] "Seasonal columns" are information or articles related to a particular season that are automatically inserted into class newsletters and letters.

[0760] "Product information" refers to data about products that store staff present to customers, including prices, descriptions, promotional information, etc.

[0761] A "customer" is a consumer who visits a physical store to purchase a product or service.

[0762] The system of the present invention is useful for educators who want to efficiently create class newsletters and letters, and for customer service in brick-and-mortar stores. The entire system is composed of multiple elements, such as users, terminals, a server, a natural language processing engine, an emotion engine, a database, and a template engine.

[0763] Program processing

[0764] User

[0765] Users use the system to input text such as topics for class newsletters or letters, or customer service requests or inquiries, using devices such as smartphones, tablets, or PCs.

[0766] Terminal

[0767] The terminal is responsible for sending the data entered by the user to the server as a JSON-formatted request, including the user ID and other metadata, and for displaying the generated data received from the server to the user, allowing them to review and edit the data.

[0768] server

[0769] The server analyzes the received data and runs a natural language processing engine to extract relevant keywords. This engine understands the content of the text and extracts important keywords. It also uses an emotion engine to recognize emotions from the user's input data, allowing it to make appropriate adjustments in content creation.

[0770] The server then selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. This database stores various illustrations, product information, and promotional data. The selected illustrations and product information are then used to set up a layout using a template engine. The specified topic, the selected illustrations, and seasonal columns are inserted to generate the final layout.

[0771] Template Engines and Databases

[0772] The template engine is software used by the server to generate layouts by inserting specified topics and illustrations. The layout includes a title, main text, illustrations, columns, etc., and is adjusted appropriately according to the user's sentiment and topic. The database is a storage device that the server accesses and stores related information, illustrations, etc.

[0773] Specific examples

[0774] For example, if a user enters "I'm looking for a gift for a special occasion," the system will do the following:

[0775] 1. User types, "I'm looking for a gift for a special occasion."

[0776] 2. The device sends this data in JSON format to the server.

[0777] 3. The server uses a natural language processing engine to extract the keywords "special day" and "present."

[0778] 4. The emotion engine recognizes positive emotions.

[0779] 5. Select "luxury chocolate," "wine with special label," and "custom-made gifts" from the database and generate a layout using a template engine.

[0780] 6. The device displays the generated data to the user, who edits the information as needed.

[0781] Prompt Sentence Examples

[0782] A specific example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Such a prompt sentence allows the system to automatically generate appropriate product information and present it to the user.

[0783] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0784] Step 1:

[0785] The user inputs the topic of the class newsletter or letter as text. Specifically, the user inputs text information into an input field using a device such as a smartphone, tablet, or PC. This input data includes requests and inquiries regarding education and customer service. An example of input data is "Looking for a gift for a special occasion."

[0786] Input: Text data entered by the user

[0787] Output: Topic data entered in the terminal

[0788] Step 2:

[0789] The device converts the input topic data into JSON format and sends it to the server, including the user ID and other metadata. This process structures the topic data, making it easier for the server to parse.

[0790] Input: Entered topic data, user ID, metadata

[0791] Output: JSON representation of the request sent to the server

[0792] Step 3:

[0793] The server analyzes the received topic data and uses a natural language processing engine to extract important keywords from the text data, using an NLP model to analyze the meaning of the text and identify key keywords.

[0794] Input: The JSON formatted request sent to the server

[0795] Output: Extracted keywords

[0796] Step 4:

[0797] The server recognizes the user's emotions based on the extracted keywords using an emotion engine, which analyzes the tone and context of the text to identify positive, negative, neutral, and other emotions.

[0798] Input: Extracted keywords

[0799] Output: Recognized emotion

[0800] Step 5:

[0801] The server selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. The server searches the database for related illustrations and product information, and selects the item that best matches the user's input and emotion.

[0802] Input: extracted keywords, recognized sentiment

[0803] Output: Selected illustrations and product information

[0804] Step 6:

[0805] The server sets the layout using a template engine. The specified topic, selected illustrations, and seasonal columns are inserted into the template to generate the final layout. The template engine adjusts the layout and color tone based on the user's emotions.

[0806] Input: Selected illustrations, product information, designated topics, seasonal columns

[0807] Output: The generated layout

[0808] Step 7:

[0809] The server sends the generated data to the terminal, where it is encoded in PDF or HTML format and sent for user access.

[0810] Input: Generated layout

[0811] Output: Data sent to the terminal

[0812] Step 8:

[0813] The terminal displays the generated data to the user, who can then confirm and edit the data. The user can confirm the generated data and adjust the text and layout as necessary.

[0814] Input: Generated data

[0815] Output: Data displayed to the user

[0816] Examples of prompts:

[0817] An example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Based on this prompt, the user can input more specific requests or situations into the system.

[0818] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0819] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0820] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0821] [Third embodiment]

[0822] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0823] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0824] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0825] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0826] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0827] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0828] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0829] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0830] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0831] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0832] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0833] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0834] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[0835] System Overview

[0836] This system has the function of automatically adding appropriate illustrations and seasonal columns to the server based on topic data entered by the user (teacher or educator), and generating class newsletters and letters in an easy-to-read layout. The specific operation is shown below.

[0837] Program processing explanation

[0838] Entering and sending topics

[0839] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they might input "Announcement of Autumn Field Trip."

[0840] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[0841] Topic analysis and keyword extraction

[0842] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are extracted.

[0843] Illustration selection

[0844] The server selects related illustrations from a database based on the extracted keywords. For example, illustrations of "autumn scenery" or "field trip scenes" are selected from the database.

[0845] Layout settings and column generation

[0846] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[0847] The server automatically generates seasonal columns according to the grade level. For example, a column titled "Autumn Plant Observation" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[0848] Sending and Displaying Data

[0849] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[0850] The terminal displays the received data to the user, who can then review it and edit it as necessary.

[0851] Editing and Distribution

[0852] After the user has finished editing, they can save the final class newsletter or letter, which can then be printed on paper or distributed via email.

[0853] Specific examples

[0854] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0855] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0856] 2. The device sends this information to the server in JSON format.

[0857] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0858] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[0859] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[0860] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0861] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0862] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[0863] The processing flow will be explained below.

[0864] Step 1:

[0865] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[0866] Step 2:

[0867] The device sends the entered topic data to the server as a JSON-formatted request, which includes the topic text data and metadata such as the user ID and school ID.

[0868] Step 3:

[0869] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topics and extract keywords. For example, it extracts keywords such as "autumn" and "field trip."

[0870] Step 4:

[0871] The server selects relevant illustrations from a database based on keywords, for example, "autumn scenery" or "group scene on a field trip."

[0872] Step 5:

[0873] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[0874] Step 6:

[0875] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[0876] Step 7:

[0877] The server combines the layout and column information to generate the final class newsletter or letter data, which is in PDF or HTML format.

[0878] Step 8:

[0879] The server transmits the generated data to the terminal.

[0880] Step 9:

[0881] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[0882] Step 10:

[0883] The user then performs a final check and saves the edited class newsletter or letter in PDF or HTML format.

[0884] Step 11:

[0885] The final class newsletter or letter can be printed or distributed by email by the user.

[0886] Example 1

[0887] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0888] In the educational field, teachers and educators often find it time-consuming and laborious to create class newsletters and letters. It's especially difficult for busy teachers to do this efficiently. Enhancing the content's appearance and information quality is also a major challenge. Furthermore, there is a lack of a way to automatically update content according to the season or grade level, making it difficult for the quality of the documents created to be consistent.

[0889] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0890] In this invention, the server includes: a means for a user to input a topic for a correspondence document as text; a means for a terminal to transmit the input topic data to a processing device; a means for the processing device to analyze the received topic data and extract relevant keywords; a means for the processing device to select appropriate image data from a data storage device based on the extracted keywords; a means for the processing device to set a layout using a template construction device and insert the specified topic, selected image data, and seasonal information; a means for the processing device to transmit the generated data to the terminal; and a means for the terminal to display the generated data to the user, allowing the user to confirm and edit the data. This allows users to efficiently create high-quality class newsletters and letters, improving the richness and appearance of the content. Furthermore, content appropriate for the season and grade level can be automatically reflected, ensuring consistent quality in the created documents.

[0891] A "user" is an entity that inputs correspondence topics and reviews and edits the generated data.

[0892] "Correspondence documents" are documents used to convey information, such as class newsletters and letters.

[0893] A "terminal" is a device that transmits topic data entered by a user to a server, and receives and displays the generated data.

[0894] The "processing device" is a device that analyzes topic data sent from a terminal, extracts related keywords, selects image data, and sets layouts using templates.

[0895] "Keywords" are important words and phrases extracted from the topic of a correspondence.

[0896] "Image data" refers to visual information such as illustrations and photographs selected to enhance the appearance of correspondence.

[0897] A "data storage device" is a device that stores information necessary for generating correspondence, such as image data and templates.

[0898] A "template construction device" is a device for setting the layout of correspondence documents and inserting the text, image data, and seasonal information.

[0899] "Seasonal information" is a column or description related to a particular season.

[0900] "Generated data" refers to correspondence data that is generated by the server based on user input and sent to the terminal.

[0901] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. The program processing of this system is explained in detail below in natural language.

[0902] Program processing explanation

[0903] Entering and sending topics

[0904] The user opens a dedicated application and enters the topic of a class newsletter or letter. For example, they enter "Announcement of autumn field trip." The device then sends a JSON-formatted request to the server, including the topic data received from the user and metadata such as the user ID and school ID. The device used can be a regular computer or smartphone.

[0905] Topic analysis and keyword extraction

[0906] The server analyzes the JSON data received from the device. A natural language processing (NLP) engine (such as SpaCy or NLTK) is used to extract important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are analyzed. The server hardware is a regular server machine, and the software uses the NLP engine mentioned above.

[0907] Illustration selection

[0908] Based on the extracted keywords, the server selects relevant illustrations from a database (e.g., AWS S3 or Google Cloud Storage). The system selects illustrations of "autumn scenery" and "field trip scenes" from the database. The server executes SQL queries against the database to retrieve the appropriate illustration data.

[0909] Layout settings and column generation

[0910] The server uses a template engine (e.g., Jinja2 or Handlebars) to automatically generate the layout of a class newsletter or letter. This layout includes a title, selected illustrations, the main text, and a seasonal column. The server uses a generative AI model (e.g., GPT-4) to generate the seasonal column according to the grade level. For example, a column titled "Observing Autumn Plants" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[0911] An example of a prompt is:

[0912] "The topic entered by the user is 'Autumn Field Trip Announcement'. Please generate a detailed explanation of autumn plant observation for first graders."

[0913] "Write a column for sixth graders that gives historical background on autumn."

[0914] Such as are used.

[0915] Sending and Displaying Data

[0916] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. The terminal displays the received data to the user, allowing the user to check and edit the content. Examples of PDF generation libraries used include WeasyPrint and ReportLab. The terminal has a viewer application for displaying the generated data.

[0917] Editing and Distribution

[0918] After the user checks the content and makes any necessary edits, the final class newsletter or letter is saved. The user can print this data on paper or distribute it via email. The saving location can be a local disk or cloud storage.

[0919] Specific examples

[0920] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[0921] 1. A user enters the topic "We're having an autumn field trip next Friday."

[0922] 2. The device sends this information to the server in JSON format.

[0923] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[0924] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[0925] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[0926] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[0927] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[0928] In this way, this system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[0929] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0930] Step 1:

[0931] The user opens a dedicated application and inputs the topic of the class newsletter or letter. The user enters "We will be holding an autumn field trip next Friday" in the application's input field and presses the "Send" button. The input data is text data titled "Announcement of autumn field trip."

[0932] Step 2:

[0933] The device converts the input topic data into JSON format and sends it to the server. Specifically, the device receives the user's input, generates a JSON format request including metadata such as the user ID and school ID, and sends it to the server's API endpoint (for example, https: / / example.com / api / gakkyucommunication). The input is the user's topic data, and the output is a JSON format request.

[0934] Step 3:

[0935] The server parses the JSON data received from the device. The server deserializes the received JSON data and uses a natural language processing (NLP) engine (e.g., SpaCy or NLTK) to extract important keywords and context from the topic. The input is the received JSON data, and the output is the extracted keywords (e.g., "autumn," "field trip," etc.).

[0936] Step 4:

[0937] The server selects relevant illustrations from a database based on the extracted keywords. The server uses the keywords to query a database (e.g., AWS S3 or Google Cloud Storage) and retrieves the URL or binary data of the most relevant illustration. The input is the extracted keywords, and the output is the selected illustration data (e.g., an image URL for "Autumn Scenery"). Specific operations include executing SQL queries or API requests.

[0938] Step 5:

[0939] The server uses a template engine to set the layout of the document to be generated and inserts the specified topic, selected illustrations, and seasonal columns. The server inputs the topic, text, and illustration URL to the template engine (e.g., Jinja2 or Handlebars), inputs the prompt "Generate a detailed explanation of autumn plant observations for first-graders" to the generative AI model (e.g., GPT-4), and inserts the generated text into the template. The input is the topic data, illustration data, and seasonal column generation prompt, and the output is the completed template layout.

[0940] Step 6:

[0941] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. It uses a PDF generation library (for example, WeasyPrint or ReportLab) to convert the generated layout into PDF format and sends this PDF data to the terminal. The input is the completed template layout and the output is PDF data. Specifically, it converts the output of the template engine into PDF format and sends it to the terminal as an HTTP response.

[0942] Step 7:

[0943] The terminal displays the received PDF data to the user, allowing the user to check and edit the content. The terminal opens the received PDF data in a display application (e.g., Adobe Reader) and shows it to the user. The input is the PDF data received from the server, and the output is the PDF content displayed to the user. Specific operations include launching the PDF display application and the user using an editing tool to modify the content.

[0944] Step 8:

[0945] The user checks and edits the content and saves the final class newsletter or letter. The user uses the editing tools to modify the PDF displayed on the device, presses the "Save" button, and saves the final PDF to a local disk or cloud storage. The input is the PDF content edited by the user, and the output is the saved final PDF data. The user can print this saved data or distribute it by email.

[0946] (Application example 1)

[0947] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0948] In today's commercial environment, it is difficult for brick-and-mortar stores to effectively and quickly communicate the latest information and campaigns to customers. Store staff, in particular, are busy, and need a way to efficiently create and distribute high-quality announcements. Furthermore, manually selecting the appropriate layout and illustrations for each topic is extremely time-consuming, reducing overall work efficiency. To solve these problems, there is a need for a system that allows brick-and-mortar store staff to easily and efficiently create and distribute announcements and campaign information.

[0949] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0950] In this invention, the server includes: means for a user to input a topic as text; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to select appropriate illustrations from a database based on the extracted keywords; means for the server to set a layout using a template engine and insert the specified topic, the selected illustrations, and a seasonal column; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the user to finally save the generated data and distribute it by print or electronic means. This enables staff at physical stores to quickly and efficiently create high-quality guides and campaign information and distribute it in the required format.

[0951] "User" means any person or entity that uses the System to enter text about topics and review and edit the generated data.

[0952] A "topic" is a specific piece of information or theme entered by a user, such as an event announcement or campaign information.

[0953] A "terminal" refers to an input device or display device used by a user, and includes smartphones, tablets, personal computers, etc.

[0954] "Server" refers to a central computer system that receives data sent from terminals, analyzes, processes, and manages the database.

[0955] "Keywords" are important words and phrases extracted by the server by analyzing the topic data it receives.

[0956] "Illustrations" refers to images or diagrams selected from a database related to the topic or keywords entered by the user.

[0957] A "template engine" is software that manages and generates fixed layouts, and is responsible for properly arranging topics, illustrations, columns, etc.

[0958] "Layout" refers to the specific arrangement and design of the generated announcements and campaign information.

[0959] A "seasonal column" is text or information related to a specific season or time of year, and is automatically generated according to the attributes of the target user.

[0960] "Generated data" refers to information data in a completed format that is generated by the server using a template engine.

[0961] "Printing" refers to the act of outputting generated data onto physical paper or the like.

[0962] "Electronic means" refers to the method of distributing generated data using digital means such as email or social media.

[0963] A "brick and mortar store" is a physical commercial establishment that offers goods and services directly to customers.

[0964] The system for implementing this invention is designed to enable store staff to efficiently create and distribute notices and campaign information. The specific configuration and operation of this system are described below.

[0965] System configuration

[0966] This system consists of a terminal used by users (store staff) and a server that analyzes and processes data. It also includes software components such as an NLP engine, a template engine, and a database.

[0967] Hardware: Smartphones, servers

[0968] Software: Dedicated applications, NLP engines (e.g., spaCy), template engines (e.g., Jinja2), databases (e.g., MySQL)

[0969] Program processing

[0970] 1. The user uses the dedicated application to enter the topic of the announcement or campaign information they want to create. For example, they can enter "Announcement of summer sale."

[0971] 2. The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[0972] 3. The server analyzes the received data. It uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "summer" and "sale" are extracted.

[0973] 4. The server selects related illustrations from the database based on the extracted keywords. For example, illustrations of "summer scenery" or "sale signs" are selected.

[0974] 5. The server uses a template engine to set up a layout including the topic, selected illustrations, main text, and seasonal columns.

[0975] 6. The server sends the generated data in PDF or HTML format to the terminal and displays it to the user.

[0976] 7. The user reviews and edits the generated data and finally stores it for distribution by print or electronic means.

[0977] Specific examples

[0978] For example, if a user enters the topic "Summer Sale Announcements," the system will do the following based on this topic:

[0979] 1. A user enters the topic "Summer sale starts next Friday" in a dedicated application.

[0980] 2. The device sends this information in JSON format to the server.

[0981] 3. The server extracts the keywords "summer" and "sale" using an NLP engine.

[0982] 4. The server selects illustrations of "summer scenery" and "sale signs" from a database based on the keywords.

[0983] 5. The server generates a layout with the title "Announcement of summer sale," the body "Summer sale starts next Friday...," an illustration, and a seasonal column "Introducing recommended summer products."

[0984] 6. The terminal displays the generated data to the user, who adds the date and time of the sale.

[0985] 7. After the user has finished editing, they save it in PDF format and print or distribute it via social media.

[0986] Prompt Sentence Examples

[0987] For example, here's a prompt we can use for the NLP engine:

[0988] Topic: "Summer Sale Announcement"

[0989] Extract keywords and select related illustrations and columns.

[0990] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0991] Step 1:

[0992] Using a dedicated application, users enter text about the topic of the announcement or campaign information they want to create.

[0993] Input: The topic "Summer Sale Announcement".

[0994] Output: Topic data in text format.

[0995] Specific behavior: The user launches the smartphone app and enters "Summer sale announcement" in the text input field.

[0996] Step 2:

[0997] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[0998] Input: Topic data, User ID, Store ID.

[0999] Output: The request in JSON format.

[1000] What it does: The application takes the text and metadata entered by the user, structures it, and sends it to the server as an HTTP request.

[1001] Step 3:

[1002] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic.

[1003] Input: Request data in JSON format.

[1004] Output: Extracted keywords (e.g. "summer" or "sale").

[1005] What it does: The server uses an NLP engine (e.g., spaCy) to analyze the received text data and extract important keywords.

[1006] Step 4:

[1007] The server selects related illustrations from a database based on the extracted keywords.

[1008] Input: Keywords (e.g. "summer" or "sale").

[1009] Output: Selected illustration data.

[1010] Specific operation: The server queries the database, searches for illustrations that match the keywords, and selects the appropriate illustration.

[1011] Step 5:

[1012] The server uses a template engine to set up a layout that includes the topic, selected illustrations, body text, and seasonal columns.

[1013] Input: Topic data, illustration data, related text (including seasonal columns).

[1014] Output: The generated layout data.

[1015] Specific operation: The server uses a template engine (e.g. Jinja2) to pass the given data through a template and generate formatted layout data.

[1016] Step 6:

[1017] The server sends the generated data to the terminal in PDF or HTML format.

[1018] Input: The generated layout data.

[1019] Output: Data in PDF or HTML format.

[1020] Specific operation: The server converts the generated layout data into PDF or HTML format and sends it to the terminal as an HTTP response.

[1021] Step 7:

[1022] The terminal displays the generated data to the user, who then reviews and edits the data.

[1023] Input: Data in PDF or HTML format.

[1024] Output: The data reviewed and edited by the user.

[1025] Specific behavior: The application renders the PDF or HTML data, and the user modifies any parts that need editing through the interface.

[1026] Step 8:

[1027] The user then stores the final generated data and distributes it by print or electronic means.

[1028] Input: Edited PDF or HTML data.

[1029] Output: Data stored, printed or electronically distributed.

[1030] Specific behavior: The user presses the save button to save the completed data to the device, and distributes the data using the print or email function as needed.

[1031] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1032] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters, and is also equipped with a function to recognize the user's emotions. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[1033] System Overview

[1034] Based on topic data entered by the user (educator), the server automatically adds appropriate illustrations and seasonal columns, and generates class newsletters and letters in an easy-to-read layout.The system also has a function that recognizes emotions from the user's input data and adjusts the layout and illustration selection based on the emotion.

[1035] Program processing explanation

[1036] Entering and sending topics

[1037] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they can input "Announcement of Autumn Field Trip."

[1038] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[1039] Topic analysis and keyword extraction

[1040] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, it extracts keywords such as "autumn" and "field trip."

[1041] Emotion Analysis

[1042] The server uses an emotion engine to recognize the user's emotions from the input topic data. For example, if the topic contains positive emotions, it selects appropriate messages and illustrations.

[1043] Illustration selection

[1044] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions. For example, illustrations of "Autumn Scenery" or "Snapshots of an Excursion" are selected from the database.

[1045] Layout settings and column generation

[1046] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[1047] The server considers the user's emotions and adjusts the layout to provide bright colors and fun illustrations for positive emotions, and soft colors and a sense of security for negative emotions.

[1048] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Nature Observation" for first graders and a column called "Autumn Historical Background" for sixth graders.

[1049] Sending and Displaying Data

[1050] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[1051] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[1052] Editing and Distribution

[1053] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[1054] The final class newsletter or letter can be printed or distributed by email by the user.

[1055] Specific examples

[1056] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[1057] 1. A user enters the topic "We're having an autumn field trip next Friday."

[1058] 2. The device sends this information to the server in JSON format.

[1059] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[1060] 4. The server detects positive emotions using the emotion engine.

[1061] 5. The server selects illustrations of "autumn scenery" and "group on a field trip" from a database based on keywords and emotions.

[1062] 6. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're going on an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Autumn Nature Observation." The layout is adjusted by selecting bright colors to emphasize a positive image.

[1063] 7. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[1064] 8. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[1065] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules, and its emotion engine enables it to provide more appropriate information to users.

[1066] The processing flow will be explained below.

[1067] Step 1:

[1068] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[1069] Step 2:

[1070] The device sends the input topic data to the server as a JSON-formatted request, which includes the topic text data, user ID, school ID, and other metadata.

[1071] Step 3:

[1072] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topic and extract context and important keywords. For example, keywords such as "autumn" and "field trip" are extracted.

[1073] Step 4:

[1074] The server uses an emotion engine to recognize the user's emotion from the input topic data. For example, if the topic is cheerful and fun, it detects positive emotion.

[1075] Step 5:

[1076] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions, such as "autumn scenery" or "group photo on a field trip."

[1077] Step 6:

[1078] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[1079] Step 7:

[1080] The server adjusts the layout based on the emotion: for example, positive emotions are represented with bright colors and cheerful illustrations, while negative emotions are represented with soft colors and a reassuring design.

[1081] Step 8:

[1082] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[1083] Step 9:

[1084] The server combines these elements to generate the final class newsletter or letter, which is output in PDF or HTML format.

[1085] Step 10:

[1086] The server transmits the generated data to the terminal.

[1087] Step 11:

[1088] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[1089] Step 12:

[1090] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[1091] Step 13:

[1092] The user prints the final class newsletter or letter and distributes it by email.

[1093] Example 2

[1094] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1095] Traditional educational communication creation systems required teachers to create correspondence and letters from scratch, which was often time-consuming and laborious. Furthermore, content was not optimized for emotions or grade levels, and information was provided uniformly, making it difficult to meet individual needs. Furthermore, these systems required manual selection of visual elements and layout settings, resulting in low creation efficiency.

[1096] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1097] In this invention, the central processing unit includes: means for a user to input a theme for educational communications; means for a terminal to transmit the input theme data to the central processing unit; means for the central processing unit to analyze the received theme data and extract related keywords; means for the central processing unit to analyze the user's emotions from the theme data; means for the central processing unit to select appropriate visual elements from a database based on the extracted keywords and analyzed emotions; means for the central processing unit to set a layout using a template engine and insert a specified theme, selected visual elements, and seasonal articles; means for the central processing unit to transmit the generated data to the terminal; and means for the terminal to display the generated data to the user and for the user to confirm and edit the data. This enables teachers to efficiently create high-quality educational communications and newsletters, and to provide optimal information according to emotions and grade levels.

[1098] "Educational communications" are documents used by teachers to provide information to students and parents, and include class newsletters and letters.

[1099] "Theme" refers to the topic or subject matter covered in educational communications.

[1100] The term "terminal" refers to a device that functions as an input device and a display device, such as a computer or mobile device operated by a user.

[1101] "Central processing unit" refers to a device that processes and manages data, such as a server or cloud computing system.

[1102] "Analysis" refers to the process of analyzing received data to understand its meaning and relevance.

[1103] "Keywords" refer to important words or phrases extracted from the thematic data.

[1104] "Emotion" refers to a state of mind, such as positive, negative, or neutral, recognized from the user's input data.

[1105] "Visual elements" refers to visual content such as illustrations and images inserted into educational communications.

[1106] "Template engine" refers to software that dynamically generates content based on a predefined layout.

[1107] "Layout" refers to the overall structure and arrangement of educational communications.

[1108] A "seasonal article" is a short document that covers information or topics related to the season.

[1109] "Database" refers to a system for storing and managing visual elements and articles.

[1110] "Validation" refers to the process by which a user checks the accuracy of the generated educational communication.

[1111] "Editing" refers to the process in which a user adds or modifies content to a generated educational communication.

[1112] The system for implementing this invention is designed to enable teachers and educators to efficiently create high-quality educational communications and is equipped with a user emotion recognition function. The system consists of a terminal, a server, and a database. It also automatically selects and generates appropriate visual elements and seasonal articles based on input topic data.

[1113] The user inputs the theme of the educational communication (for example, "Announcement of Autumn Field Trip") using the device. The device converts the input theme data into JSON format, adds metadata such as the user ID and school ID, and sends it to the server.

[1114] The server parses the received JSON data, which involves extracting important keywords from the text data using a natural language processing (NLP) engine (e.g., NLTK or SpaCy), and simultaneously analyzes the user's emotions from the text data using an emotion engine (e.g., Hugging Face Transformers).

[1115] Based on the extracted keywords and the recognized emotions, the server accesses a database to select appropriate visual elements (e.g., illustrations of "Autumn Scenery" or "Outing Snapshots"). The database is accessed using SQL queries.

[1116] Next, the server uses a template engine (e.g., Jinja2) to set the layout of the educational newsletter. The layout includes a title, selected visual elements, the main text, and seasonal articles. Based on the emotion recognition results, the server applies bright colors and cheerful illustrations for positive emotions, and soft colors and a reassuring design for negative emotions. For example, an article about "nature observation in autumn" is automatically generated and inserted for first-grade students.

[1117] The server generates the completed educational communication data in PDF or HTML format and sends it to the device. The device displays the generated data on a dedicated application, and the user can check the displayed content and make corrections to the text or adjust the layout as necessary.

[1118] Once the user has completed editing, they can save the educational communication data in PDF or HTML format. The user can then distribute this data to parents and guardians by printing or email. Printing is done using a printer connected to the device, and email distribution is done using a dedicated email sending function.

[1119] Examples:

[1120] If a user types, "I'm looking forward to our autumn field trip next Friday," the server extracts keywords like "autumn" and "field trip" and recognizes positive emotions. Based on this, the server selects illustrations of "autumn scenery" and "field trip groups" and adjusts the layout with bright colors. It then generates and inserts an article titled "Autumn Nature Observation" for first-graders.

[1121] This system allows teachers to efficiently create high-quality educational communications, providing optimal information tailored to students' emotions and grade levels.

[1122] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1123] Step 1:

[1124] The user launches a dedicated application and inputs the theme of the educational communication. When the user inputs "Autumn field trip announcement," the device acquires this information. The input includes text data for the theme. The device converts this input data into JSON format and adds metadata such as the user ID and school ID. The output is request data in JSON format.

[1125] Step 2:

[1126] The terminal sends the generated JSON formatted request data to the server. The protocol used here is HTTP or HTTPS. The input contains the JSON formatted request data generated by the terminal. The server receives this request and prepares for analysis. The output is that the data has been transmitted to the server.

[1127] Step 3:

[1128] The server parses the received JSON data and uses a natural language processing (NLP) engine (such as NLTK or SpaCy) to extract important keywords from the text data. The input includes text data in JSON format. Specifically, the server extracts keywords such as "autumn" and "field trip." The output is a list of the extracted keywords.

[1129] Step 4:

[1130] The server uses an emotion engine (such as Hugging Face Transformers) to recognize the user's emotion from the input theme. The input includes text data. Specifically, positive emotion is detected from the sentence "I'm looking forward to the autumn field trip." The output is information about the recognized emotion.

[1131] Step 5:

[1132] The server accesses a database to select appropriate visual elements based on the extracted keywords and recognized emotions. The input includes a list of keywords and emotion information. Specifically, the server selects illustrations such as "Autumn Scenery" and "Snapshot of a Field Trip" and retrieves the corresponding data using an SQL query. The output is a list of selected visual elements.

[1133] Step 6:

[1134] The server uses a template engine (such as Jinja2) to set the layout of the educational newsletter. The input includes selected visual elements, extracted keywords, and recognized emotions. Specifically, the server generates a layout including a title, body text, illustrations, and seasonal articles, and uses bright colors for positive emotions. The output is the final layout data.

[1135] Step 7:

[1136] The server generates the completed layout data in PDF or HTML format and sends it to the terminal. The input includes the final layout data. The terminal displays the data received from the server. Specifically, it provides a screen that allows the user to review the generated educational communication. The output includes the educational communication displayed to the user.

[1137] Step 8:

[1138] The user checks the displayed content and,if necessary, corrects the text or adjusts the layout.,The input includes the content of the displayed educational,communication.,After the user makes the corrections, the final data is saved,in PDF or HTML format.,The output is the saved final educational communication data.

[1139] Step 9:

[1140] The user finally prints or emails the saved educational communication. The input includes the saved educational communication data. The user prints using a printer connected to the device or emails the educational communication using an email sending function. The output includes the printed document or the educational communication distributed in email format.

[1141] (Application example 2)

[1142] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1143] The purpose of this invention is to provide an efficient, high-quality communication tool for educational institutions and brick-and-mortar stores. In particular, it aims to solve the problem of providing information that takes into account the topic content and user emotions when educators want to quickly and efficiently create class newsletters and letters, or when store staff want to automatically generate information to smoothly handle customers.

[1144] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1145] In this invention, the server includes: means for a user to input a text topic for a class newsletter or letter; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to recognize the user's emotions using an emotion engine; means for the server to select an appropriate illustration from a database based on the extracted keywords and the recognized emotions; means for the server to set a layout using a template engine and insert a specified topic, selected illustrations, and seasonal columns; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the terminal to display the content of the conversation with the customer to staff as product information adjusted based on the emotion. This enables the creation of high-quality class newsletters and letters that take emotions into consideration based on the user's topic input, and efficient and appropriate customer service in physical stores.

[1146] "Users" are educators who use the system to create class newsletters and letters, or store staff who deal with customers in physical stores.

[1147] A "terminal" is a device operated by a user, and includes hardware such as a smartphone, tablet, or PC.

[1148] "Topic data" refers to the contents of class newsletters or letters entered by users, or customer service requests or consultations.

[1149] "Server" refers to a computer system that receives topic data, analyzes it, and generates the necessary information.

[1150] A "natural language processing engine" is a software engine used by the server to extract keywords from topic data.

[1151] An "emotion engine" is a software engine that recognizes emotions from user input data and reflects them in content.

[1152] A "database" is a storage device that the server accesses and stores related information, illustrations, etc.

[1153] A "template engine" is software used by the server to generate layouts by inserting specified topics and illustrations.

[1154] "Layout" refers to the appearance and structure of the generated class newsletter or letter, and includes the title, main text, illustrations, columns, etc.

[1155] "Seasonal columns" are information or articles related to a particular season that are automatically inserted into class newsletters and letters.

[1156] "Product information" refers to data about products that store staff present to customers, including prices, descriptions, promotional information, etc.

[1157] A "customer" is a consumer who visits a physical store to purchase a product or service.

[1158] The system of the present invention is useful for educators who want to efficiently create class newsletters and letters, and for customer service in brick-and-mortar stores. The entire system is composed of multiple elements, such as users, terminals, a server, a natural language processing engine, an emotion engine, a database, and a template engine.

[1159] Program processing

[1160] User

[1161] Users use the system to input text such as topics for class newsletters or letters, or customer service requests or inquiries, using devices such as smartphones, tablets, or PCs.

[1162] Terminal

[1163] The terminal is responsible for sending the data entered by the user to the server as a JSON-formatted request, including the user ID and other metadata, and for displaying the generated data received from the server to the user, allowing them to review and edit the data.

[1164] server

[1165] The server analyzes the received data and runs a natural language processing engine to extract relevant keywords. This engine understands the content of the text and extracts important keywords. It also uses an emotion engine to recognize emotions from the user's input data, allowing it to make appropriate adjustments in content creation.

[1166] The server then selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. This database stores various illustrations, product information, and promotional data. The selected illustrations and product information are then used to set up a layout using a template engine. The specified topic, the selected illustrations, and seasonal columns are inserted to generate the final layout.

[1167] Template Engines and Databases

[1168] The template engine is software used by the server to generate layouts by inserting specified topics and illustrations. The layout includes a title, main text, illustrations, columns, etc., and is adjusted appropriately according to the user's sentiment and topic. The database is a storage device that the server accesses and stores related information, illustrations, etc.

[1169] Specific examples

[1170] For example, if a user enters "I'm looking for a gift for a special occasion," the system will do the following:

[1171] 1. User types, "I'm looking for a gift for a special occasion."

[1172] 2. The device sends this data in JSON format to the server.

[1173] 3. The server uses a natural language processing engine to extract the keywords "special day" and "present."

[1174] 4. The emotion engine recognizes positive emotions.

[1175] 5. Select "luxury chocolate," "wine with special label," and "custom-made gifts" from the database and generate a layout using a template engine.

[1176] 6. The device displays the generated data to the user, who edits the information as needed.

[1177] Prompt Sentence Examples

[1178] A specific example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Such a prompt sentence allows the system to automatically generate appropriate product information and present it to the user.

[1179] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1180] Step 1:

[1181] The user inputs the topic of the class newsletter or letter as text. Specifically, the user inputs text information into an input field using a device such as a smartphone, tablet, or PC. This input data includes requests and inquiries regarding education and customer service. An example of input data is "Looking for a gift for a special occasion."

[1182] Input: Text data entered by the user

[1183] Output: Topic data entered in the terminal

[1184] Step 2:

[1185] The device converts the input topic data into JSON format and sends it to the server, including the user ID and other metadata. This process structures the topic data, making it easier for the server to parse.

[1186] Input: Entered topic data, user ID, metadata

[1187] Output: JSON representation of the request sent to the server

[1188] Step 3:

[1189] The server analyzes the received topic data and uses a natural language processing engine to extract important keywords from the text data, using an NLP model to analyze the meaning of the text and identify key keywords.

[1190] Input: The JSON formatted request sent to the server

[1191] Output: Extracted keywords

[1192] Step 4:

[1193] The server recognizes the user's emotions based on the extracted keywords using an emotion engine, which analyzes the tone and context of the text to identify positive, negative, neutral, and other emotions.

[1194] Input: Extracted keywords

[1195] Output: Recognized emotion

[1196] Step 5:

[1197] The server selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. The server searches the database for related illustrations and product information, and selects the item that best matches the user's input and emotion.

[1198] Input: extracted keywords, recognized sentiment

[1199] Output: Selected illustrations and product information

[1200] Step 6:

[1201] The server sets the layout using a template engine. The specified topic, selected illustrations, and seasonal columns are inserted into the template to generate the final layout. The template engine adjusts the layout and color tone based on the user's emotions.

[1202] Input: Selected illustrations, product information, designated topics, seasonal columns

[1203] Output: The generated layout

[1204] Step 7:

[1205] The server sends the generated data to the terminal, where it is encoded in PDF or HTML format and sent for user access.

[1206] Input: Generated layout

[1207] Output: Data sent to the terminal

[1208] Step 8:

[1209] The terminal displays the generated data to the user, who can then confirm and edit the data. The user can confirm the generated data and adjust the text and layout as necessary.

[1210] Input: Generated data

[1211] Output: Data displayed to the user

[1212] Examples of prompts:

[1213] An example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Based on this prompt, the user can input more specific requests or situations into the system.

[1214] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1215] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1216] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1217] [Fourth embodiment]

[1218] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1219] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1220] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1221] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1222] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1223] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1224] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1225] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1226] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1227] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1228] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1229] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1230] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1231] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[1232] System Overview

[1233] This system has the function of automatically adding appropriate illustrations and seasonal columns to the server based on topic data entered by the user (teacher or educator), and generating class newsletters and letters in an easy-to-read layout. The specific operation is shown below.

[1234] Program processing explanation

[1235] Entering and sending topics

[1236] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they might input "Announcement of Autumn Field Trip."

[1237] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[1238] Topic analysis and keyword extraction

[1239] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are extracted.

[1240] Illustration selection

[1241] The server selects related illustrations from a database based on the extracted keywords. For example, illustrations of "autumn scenery" or "field trip scenes" are selected from the database.

[1242] Layout settings and column generation

[1243] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[1244] The server automatically generates seasonal columns according to the grade level. For example, a column titled "Autumn Plant Observation" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[1245] Sending and Displaying Data

[1246] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[1247] The terminal displays the received data to the user, who can then review it and edit it as necessary.

[1248] Editing and Distribution

[1249] After the user has finished editing, they can save the final class newsletter or letter, which can then be printed on paper or distributed via email.

[1250] Specific examples

[1251] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[1252] 1. A user enters the topic "We're having an autumn field trip next Friday."

[1253] 2. The device sends this information to the server in JSON format.

[1254] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[1255] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[1256] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[1257] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[1258] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[1259] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[1260] The processing flow will be explained below.

[1261] Step 1:

[1262] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[1263] Step 2:

[1264] The device sends the entered topic data to the server as a JSON-formatted request, which includes the topic text data and metadata such as the user ID and school ID.

[1265] Step 3:

[1266] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topics and extract keywords. For example, it extracts keywords such as "autumn" and "field trip."

[1267] Step 4:

[1268] The server selects relevant illustrations from a database based on keywords, for example, "autumn scenery" or "group scene on a field trip."

[1269] Step 5:

[1270] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[1271] Step 6:

[1272] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[1273] Step 7:

[1274] The server combines the layout and column information to generate the final class newsletter or letter data, which is in PDF or HTML format.

[1275] Step 8:

[1276] The server transmits the generated data to the terminal.

[1277] Step 9:

[1278] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[1279] Step 10:

[1280] The user then performs a final check and saves the edited class newsletter or letter in PDF or HTML format.

[1281] Step 11:

[1282] The final class newsletter or letter can be printed or distributed by email by the user.

[1283] Example 1

[1284] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1285] In the educational field, teachers and educators often find it time-consuming and laborious to create class newsletters and letters. It's especially difficult for busy teachers to do this efficiently. Enhancing the content's appearance and information quality is also a major challenge. Furthermore, there is a lack of a way to automatically update content according to the season or grade level, making it difficult for the quality of the documents created to be consistent.

[1286] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1287] In this invention, the server includes: a means for a user to input a topic for a correspondence document as text; a means for a terminal to transmit the input topic data to a processing device; a means for the processing device to analyze the received topic data and extract relevant keywords; a means for the processing device to select appropriate image data from a data storage device based on the extracted keywords; a means for the processing device to set a layout using a template construction device and insert the specified topic, selected image data, and seasonal information; a means for the processing device to transmit the generated data to the terminal; and a means for the terminal to display the generated data to the user, allowing the user to confirm and edit the data. This allows users to efficiently create high-quality class newsletters and letters, improving the richness and appearance of the content. Furthermore, content appropriate for the season and grade level can be automatically reflected, ensuring consistent quality in the created documents.

[1288] A "user" is an entity that inputs correspondence topics and reviews and edits the generated data.

[1289] "Correspondence documents" are documents used to convey information, such as class newsletters and letters.

[1290] A "terminal" is a device that transmits topic data entered by a user to a server, and receives and displays the generated data.

[1291] The "processing device" is a device that analyzes topic data sent from a terminal, extracts related keywords, selects image data, and sets layouts using templates.

[1292] "Keywords" are important words and phrases extracted from the topic of a correspondence.

[1293] "Image data" refers to visual information such as illustrations and photographs selected to enhance the appearance of correspondence.

[1294] A "data storage device" is a device that stores information necessary for generating correspondence, such as image data and templates.

[1295] A "template construction device" is a device for setting the layout of correspondence documents and inserting the text, image data, and seasonal information.

[1296] "Seasonal information" is a column or description related to a particular season.

[1297] "Generated data" refers to correspondence data that is generated by the server based on user input and sent to the terminal.

[1298] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters. The program processing of this system is explained in detail below in natural language.

[1299] Program processing explanation

[1300] Entering and sending topics

[1301] The user opens a dedicated application and enters the topic of a class newsletter or letter. For example, they enter "Announcement of autumn field trip." The device then sends a JSON-formatted request to the server, including the topic data received from the user and metadata such as the user ID and school ID. The device used can be a regular computer or smartphone.

[1302] Topic analysis and keyword extraction

[1303] The server analyzes the JSON data received from the device. A natural language processing (NLP) engine (such as SpaCy or NLTK) is used to extract important keywords and context from the topic. For example, keywords such as "autumn" and "field trip" are analyzed. The server hardware is a regular server machine, and the software uses the NLP engine mentioned above.

[1304] Illustration selection

[1305] Based on the extracted keywords, the server selects relevant illustrations from a database (e.g., AWS S3 or Google Cloud Storage). The system selects illustrations of "autumn scenery" and "field trip scenes" from the database. The server executes SQL queries against the database to retrieve the appropriate illustration data.

[1306] Layout settings and column generation

[1307] The server uses a template engine (e.g., Jinja2 or Handlebars) to automatically generate the layout of a class newsletter or letter. This layout includes a title, selected illustrations, the main text, and a seasonal column. The server uses a generative AI model (e.g., GPT-4) to generate the seasonal column according to the grade level. For example, a column titled "Observing Autumn Plants" is inserted for first graders, and a column titled "Historical Background of Autumn" is inserted for sixth graders.

[1308] An example of a prompt is:

[1309] "The topic entered by the user is 'Autumn Field Trip Announcement'. Please generate a detailed explanation of autumn plant observation for first graders."

[1310] "Write a column for sixth graders that gives historical background on autumn."

[1311] Such as are used.

[1312] Sending and Displaying Data

[1313] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. The terminal displays the received data to the user, allowing the user to check and edit the content. Examples of PDF generation libraries used include WeasyPrint and ReportLab. The terminal has a viewer application for displaying the generated data.

[1314] Editing and Distribution

[1315] After the user checks the content and makes any necessary edits, the final class newsletter or letter is saved. The user can print this data on paper or distribute it via email. The saving location can be a local disk or cloud storage.

[1316] Specific examples

[1317] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[1318] 1. A user enters the topic "We're having an autumn field trip next Friday."

[1319] 2. The device sends this information to the server in JSON format.

[1320] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[1321] 4. Based on the keywords, the server selects illustrations of "autumn scenery" and "group on a field trip" from its database.

[1322] 5. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're having an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Observing Autumn Plants."

[1323] 6. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[1324] 7. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[1325] In this way, this system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules.

[1326] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1327] Step 1:

[1328] The user opens a dedicated application and inputs the topic of the class newsletter or letter. The user enters "We will be holding an autumn field trip next Friday" in the application's input field and presses the "Send" button. The input data is text data titled "Announcement of autumn field trip."

[1329] Step 2:

[1330] The device converts the input topic data into JSON format and sends it to the server. Specifically, the device receives the user's input, generates a JSON format request including metadata such as the user ID and school ID, and sends it to the server's API endpoint (for example, https: / / example.com / api / gakkyucommunication). The input is the user's topic data, and the output is a JSON format request.

[1331] Step 3:

[1332] The server parses the JSON data received from the device. The server deserializes the received JSON data and uses a natural language processing (NLP) engine (e.g., SpaCy or NLTK) to extract important keywords and context from the topic. The input is the received JSON data, and the output is the extracted keywords (e.g., "autumn," "field trip," etc.).

[1333] Step 4:

[1334] The server selects relevant illustrations from a database based on the extracted keywords. The server uses the keywords to query a database (e.g., AWS S3 or Google Cloud Storage) and retrieves the URL or binary data of the most relevant illustration. The input is the extracted keywords, and the output is the selected illustration data (e.g., an image URL for "Autumn Scenery"). Specific operations include executing SQL queries or API requests.

[1335] Step 5:

[1336] The server uses a template engine to set the layout of the document to be generated and inserts the specified topic, selected illustrations, and seasonal columns. The server inputs the topic, text, and illustration URL to the template engine (e.g., Jinja2 or Handlebars), inputs the prompt "Generate a detailed explanation of autumn plant observations for first-graders" to the generative AI model (e.g., GPT-4), and inserts the generated text into the template. The input is the topic data, illustration data, and seasonal column generation prompt, and the output is the completed template layout.

[1337] Step 6:

[1338] The server sends the generated data for the class newsletter or letter to the terminal in PDF or HTML format. It uses a PDF generation library (for example, WeasyPrint or ReportLab) to convert the generated layout into PDF format and sends this PDF data to the terminal. The input is the completed template layout and the output is PDF data. Specifically, it converts the output of the template engine into PDF format and sends it to the terminal as an HTTP response.

[1339] Step 7:

[1340] The terminal displays the received PDF data to the user, allowing the user to check and edit the content. The terminal opens the received PDF data in a display application (e.g., Adobe Reader) and shows it to the user. The input is the PDF data received from the server, and the output is the PDF content displayed to the user. Specific operations include launching the PDF display application and the user using an editing tool to modify the content.

[1341] Step 8:

[1342] The user checks and edits the content and saves the final class newsletter or letter. The user uses the editing tools to modify the PDF displayed on the device, presses the "Save" button, and saves the final PDF to a local disk or cloud storage. The input is the PDF content edited by the user, and the output is the saved final PDF data. The user can print this saved data or distribute it by email.

[1343] (Application example 1)

[1344] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1345] In today's commercial environment, it is difficult for brick-and-mortar stores to effectively and quickly communicate the latest information and campaigns to customers. Store staff, in particular, are busy, and need a way to efficiently create and distribute high-quality announcements. Furthermore, manually selecting the appropriate layout and illustrations for each topic is extremely time-consuming, reducing overall work efficiency. To solve these problems, there is a need for a system that allows brick-and-mortar store staff to easily and efficiently create and distribute announcements and campaign information.

[1346] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1347] In this invention, the server includes: means for a user to input a topic as text; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to select appropriate illustrations from a database based on the extracted keywords; means for the server to set a layout using a template engine and insert the specified topic, the selected illustrations, and a seasonal column; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the user to finally save the generated data and distribute it by print or electronic means. This enables staff at physical stores to quickly and efficiently create high-quality guides and campaign information and distribute it in the required format.

[1348] "User" means any person or entity that uses the System to enter text about topics and review and edit the generated data.

[1349] A "topic" is a specific piece of information or theme entered by a user, such as an event announcement or campaign information.

[1350] A "terminal" refers to an input device or display device used by a user, and includes smartphones, tablets, personal computers, etc.

[1351] "Server" refers to a central computer system that receives data sent from terminals, analyzes, processes, and manages the database.

[1352] "Keywords" are important words and phrases extracted by the server by analyzing the topic data it receives.

[1353] "Illustrations" refers to images or diagrams selected from a database related to the topic or keywords entered by the user.

[1354] A "template engine" is software that manages and generates fixed layouts, and is responsible for properly arranging topics, illustrations, columns, etc.

[1355] "Layout" refers to the specific arrangement and design of the generated announcements and campaign information.

[1356] A "seasonal column" is text or information related to a specific season or time of year, and is automatically generated according to the attributes of the target user.

[1357] "Generated data" refers to information data in a completed format that is generated by the server using a template engine.

[1358] "Printing" refers to the act of outputting generated data onto physical paper or the like.

[1359] "Electronic means" refers to the method of distributing generated data using digital means such as email or social media.

[1360] A "brick and mortar store" is a physical commercial establishment that offers goods and services directly to customers.

[1361] The system for implementing this invention is designed to enable store staff to efficiently create and distribute notices and campaign information. The specific configuration and operation of this system are described below.

[1362] System configuration

[1363] This system consists of a terminal used by users (store staff) and a server that analyzes and processes data. It also includes software components such as an NLP engine, a template engine, and a database.

[1364] Hardware: Smartphones, servers

[1365] Software: Dedicated applications, NLP engines (e.g., spaCy), template engines (e.g., Jinja2), databases (e.g., MySQL)

[1366] Program processing

[1367] 1. The user uses the dedicated application to enter the topic of the announcement or campaign information they want to create. For example, they can enter "Announcement of summer sale."

[1368] 2. The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[1369] 3. The server analyzes the received data. It uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, keywords such as "summer" and "sale" are extracted.

[1370] 4. The server selects related illustrations from the database based on the extracted keywords. For example, illustrations of "summer scenery" or "sale signs" are selected.

[1371] 5. The server uses a template engine to set up a layout including the topic, selected illustrations, main text, and seasonal columns.

[1372] 6. The server sends the generated data in PDF or HTML format to the terminal and displays it to the user.

[1373] 7. The user reviews and edits the generated data and finally stores it for distribution by print or electronic means.

[1374] Specific examples

[1375] For example, if a user enters the topic "Summer Sale Announcements," the system will do the following based on this topic:

[1376] 1. A user enters the topic "Summer sale starts next Friday" in a dedicated application.

[1377] 2. The device sends this information in JSON format to the server.

[1378] 3. The server extracts the keywords "summer" and "sale" using an NLP engine.

[1379] 4. The server selects illustrations of "summer scenery" and "sale signs" from a database based on the keywords.

[1380] 5. The server generates a layout with the title "Announcement of summer sale," the body "Summer sale starts next Friday...," an illustration, and a seasonal column "Introducing recommended summer products."

[1381] 6. The terminal displays the generated data to the user, who adds the date and time of the sale.

[1382] 7. After the user has finished editing, they save it in PDF format and print or distribute it via social media.

[1383] Prompt Sentence Examples

[1384] For example, here's a prompt we can use for the NLP engine:

[1385] Topic: "Summer Sale Announcement"

[1386] Extract keywords and select related illustrations and columns.

[1387] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1388] Step 1:

[1389] Using a dedicated application, users enter text about the topic of the announcement or campaign information they want to create.

[1390] Input: The topic "Summer Sale Announcement".

[1391] Output: Topic data in text format.

[1392] Specific behavior: The user launches the smartphone app and enters "Summer sale announcement" in the text input field.

[1393] Step 2:

[1394] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and store ID.

[1395] Input: Topic data, User ID, Store ID.

[1396] Output: The request in JSON format.

[1397] What it does: The application takes the text and metadata entered by the user, structures it, and sends it to the server as an HTTP request.

[1398] Step 3:

[1399] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic.

[1400] Input: Request data in JSON format.

[1401] Output: Extracted keywords (e.g. "summer" or "sale").

[1402] What it does: The server uses an NLP engine (e.g., spaCy) to analyze the received text data and extract important keywords.

[1403] Step 4:

[1404] The server selects related illustrations from a database based on the extracted keywords.

[1405] Input: Keywords (e.g. "summer" or "sale").

[1406] Output: Selected illustration data.

[1407] Specific operation: The server queries the database, searches for illustrations that match the keywords, and selects the appropriate illustration.

[1408] Step 5:

[1409] The server uses a template engine to set up a layout that includes the topic, selected illustrations, body text, and seasonal columns.

[1410] Input: Topic data, illustration data, related text (including seasonal columns).

[1411] Output: The generated layout data.

[1412] Specific operation: The server uses a template engine (e.g. Jinja2) to pass the given data through a template and generate formatted layout data.

[1413] Step 6:

[1414] The server sends the generated data to the terminal in PDF or HTML format.

[1415] Input: The generated layout data.

[1416] Output: Data in PDF or HTML format.

[1417] Specific operation: The server converts the generated layout data into PDF or HTML format and sends it to the terminal as an HTTP response.

[1418] Step 7:

[1419] The terminal displays the generated data to the user, who then reviews and edits the data.

[1420] Input: Data in PDF or HTML format.

[1421] Output: The data reviewed and edited by the user.

[1422] Specific behavior: The application renders the PDF or HTML data, and the user modifies any parts that need editing through the interface.

[1423] Step 8:

[1424] The user then stores the final generated data and distributes it by print or electronic means.

[1425] Input: Edited PDF or HTML data.

[1426] Output: Data stored, printed or electronically distributed.

[1427] Specific behavior: The user presses the save button to save the completed data to the device, and distributes the data using the print or email function as needed.

[1428] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1429] The system for implementing this invention is designed to enable teachers and educators to easily and efficiently create class newsletters and letters, and is also equipped with a function to recognize the user's emotions. Below, the processing of the program of this system is explained in natural language, and a form for implementing the invention is shown with concrete examples.

[1430] System Overview

[1431] Based on topic data entered by the user (educator), the server automatically adds appropriate illustrations and seasonal columns, and generates class newsletters and letters in an easy-to-read layout.The system also has a function that recognizes emotions from the user's input data and adjusts the layout and illustration selection based on the emotion.

[1432] Program processing explanation

[1433] Entering and sending topics

[1434] The user uses a dedicated application to input the topic of the class newsletter or letter they want to create. For example, they can input "Announcement of Autumn Field Trip."

[1435] The device sends a JSON-formatted request to the server, including the entered topic data and metadata such as the user ID and school ID.

[1436] Topic analysis and keyword extraction

[1437] The server analyzes the received data and uses a natural language processing (NLP) engine to understand important keywords and context from the topic. For example, it extracts keywords such as "autumn" and "field trip."

[1438] Emotion Analysis

[1439] The server uses an emotion engine to recognize the user's emotions from the input topic data. For example, if the topic contains positive emotions, it selects appropriate messages and illustrations.

[1440] Illustration selection

[1441] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions. For example, illustrations of "Autumn Scenery" or "Snapshots of an Excursion" are selected from the database.

[1442] Layout settings and column generation

[1443] The server uses a template engine to set the layout of the class newsletter or letter, which includes the title, selected illustrations, the main text, and a seasonal column.

[1444] The server considers the user's emotions and adjusts the layout to provide bright colors and fun illustrations for positive emotions, and soft colors and a sense of security for negative emotions.

[1445] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Nature Observation" for first graders and a column called "Autumn Historical Background" for sixth graders.

[1446] Sending and Displaying Data

[1447] The server sends the generated class newsletter and letter data to the terminal in PDF or HTML format.

[1448] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[1449] Editing and Distribution

[1450] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[1451] The final class newsletter or letter can be printed or distributed by email by the user.

[1452] Specific examples

[1453] For example, suppose a user enters the topic "Autumn Field Trip Announcement." Based on this topic, the system will do the following:

[1454] 1. A user enters the topic "We're having an autumn field trip next Friday."

[1455] 2. The device sends this information to the server in JSON format.

[1456] 3. The server extracts the keywords "autumn" and "field trip" using an NLP engine.

[1457] 4. The server detects positive emotions using the emotion engine.

[1458] 5. The server selects illustrations of "autumn scenery" and "group on a field trip" from a database based on keywords and emotions.

[1459] 6. The server generates a layout with the title "Announcement of Autumn Field Trip," the text "We're going on an autumn field trip next Friday...," an illustration, and a seasonal column for first graders titled "Autumn Nature Observation." The layout is adjusted by selecting bright colors to emphasize a positive image.

[1460] 7. The device displays the generated data to the user, who can then add a meeting place and a list of items to bring.

[1461] 8. After the user has completed editing, they save it in PDF format and print or distribute it electronically.

[1462] This system helps teachers to efficiently create high-quality class newsletters and letters despite their busy schedules, and its emotion engine enables it to provide more appropriate information to users.

[1463] The processing flow will be explained below.

[1464] Step 1:

[1465] The user launches the dedicated application, enters the topic of the class newsletter or letter in text on the topic input screen, for example, "Announcement of autumn field trip," and clicks the "Send" button.

[1466] Step 2:

[1467] The device sends the input topic data to the server as a JSON-formatted request, which includes the topic text data, user ID, school ID, and other metadata.

[1468] Step 3:

[1469] The server parses the received JSON data. It uses a natural language processing (NLP) engine to analyze the input topic and extract context and important keywords. For example, keywords such as "autumn" and "field trip" are extracted.

[1470] Step 4:

[1471] The server uses an emotion engine to recognize the user's emotion from the input topic data. For example, if the topic is cheerful and fun, it detects positive emotion.

[1472] Step 5:

[1473] The server selects relevant illustrations from a database based on the extracted keywords and the recognized emotions, such as "autumn scenery" or "group photo on a field trip."

[1474] Step 6:

[1475] The server uses a template engine to create a layout for the class newsletter or letter, which includes a title, selected illustrations, the main text, and a seasonal column.

[1476] Step 7:

[1477] The server adjusts the layout based on the emotion: for example, positive emotions are represented with bright colors and cheerful illustrations, while negative emotions are represented with soft colors and a reassuring design.

[1478] Step 8:

[1479] The server automatically generates seasonal columns according to the grade level. For example, it inserts a column called "Autumn Plant Observation" for first graders and a column called "Autumn's Historical Background" for sixth graders.

[1480] Step 9:

[1481] The server combines these elements to generate the final class newsletter or letter, which is output in PDF or HTML format.

[1482] Step 10:

[1483] The server transmits the generated data to the terminal.

[1484] Step 11:

[1485] The data received by the device is displayed in a dedicated application. The user can check the displayed content and correct the text or adjust the layout as necessary.

[1486] Step 12:

[1487] After the user has finished editing, they can save the final class newsletter or letter in PDF or HTML format.

[1488] Step 13:

[1489] The user prints the final class newsletter or letter and distributes it by email.

[1490] Example 2

[1491] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1492] Traditional educational communication creation systems required teachers to create correspondence and letters from scratch, which was often time-consuming and laborious. Furthermore, content was not optimized for emotions or grade levels, and information was provided uniformly, making it difficult to meet individual needs. Furthermore, these systems required manual selection of visual elements and layout settings, resulting in low creation efficiency.

[1493] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1494] In this invention, the central processing unit includes: means for a user to input a theme for educational communications; means for a terminal to transmit the input theme data to the central processing unit; means for the central processing unit to analyze the received theme data and extract related keywords; means for the central processing unit to analyze the user's emotions from the theme data; means for the central processing unit to select appropriate visual elements from a database based on the extracted keywords and analyzed emotions; means for the central processing unit to set a layout using a template engine and insert a specified theme, selected visual elements, and seasonal articles; means for the central processing unit to transmit the generated data to the terminal; and means for the terminal to display the generated data to the user and for the user to confirm and edit the data. This enables teachers to efficiently create high-quality educational communications and newsletters, and to provide optimal information according to emotions and grade levels.

[1495] "Educational communications" are documents used by teachers to provide information to students and parents, and include class newsletters and letters.

[1496] "Theme" refers to the topic or subject matter covered in educational communications.

[1497] The term "terminal" refers to a device that functions as an input device and a display device, such as a computer or mobile device operated by a user.

[1498] "Central processing unit" refers to a device that processes and manages data, such as a server or cloud computing system.

[1499] "Analysis" refers to the process of analyzing received data to understand its meaning and relevance.

[1500] "Keywords" refer to important words or phrases extracted from the thematic data.

[1501] "Emotion" refers to a state of mind, such as positive, negative, or neutral, recognized from the user's input data.

[1502] "Visual elements" refers to visual content such as illustrations and images inserted into educational communications.

[1503] "Template engine" refers to software that dynamically generates content based on a predefined layout.

[1504] "Layout" refers to the overall structure and arrangement of educational communications.

[1505] A "seasonal article" is a short document that covers information or topics related to the season.

[1506] "Database" refers to a system for storing and managing visual elements and articles.

[1507] "Validation" refers to the process by which a user checks the accuracy of the generated educational communication.

[1508] "Editing" refers to the process in which a user adds or modifies content to a generated educational communication.

[1509] The system for implementing this invention is designed to enable teachers and educators to efficiently create high-quality educational communications and is equipped with a user emotion recognition function. The system consists of a terminal, a server, and a database. It also automatically selects and generates appropriate visual elements and seasonal articles based on input topic data.

[1510] The user inputs the theme of the educational communication (for example, "Announcement of Autumn Field Trip") using the device. The device converts the input theme data into JSON format, adds metadata such as the user ID and school ID, and sends it to the server.

[1511] The server parses the received JSON data, which involves extracting important keywords from the text data using a natural language processing (NLP) engine (e.g., NLTK or SpaCy), and simultaneously analyzes the user's emotions from the text data using an emotion engine (e.g., Hugging Face Transformers).

[1512] Based on the extracted keywords and the recognized emotions, the server accesses a database to select appropriate visual elements (e.g., illustrations of "Autumn Scenery" or "Outing Snapshots"). The database is accessed using SQL queries.

[1513] Next, the server uses a template engine (e.g., Jinja2) to set the layout of the educational newsletter. The layout includes a title, selected visual elements, the main text, and seasonal articles. Based on the emotion recognition results, the server applies bright colors and cheerful illustrations for positive emotions, and soft colors and a reassuring design for negative emotions. For example, an article about "nature observation in autumn" is automatically generated and inserted for first-grade students.

[1514] The server generates the completed educational communication data in PDF or HTML format and sends it to the device. The device displays the generated data on a dedicated application, and the user can check the displayed content and make corrections to the text or adjust the layout as necessary.

[1515] Once the user has completed editing, they can save the educational communication data in PDF or HTML format. The user can then distribute this data to parents and guardians by printing or email. Printing is done using a printer connected to the device, and email distribution is done using a dedicated email sending function.

[1516] Examples:

[1517] If a user types, "I'm looking forward to our autumn field trip next Friday," the server extracts keywords like "autumn" and "field trip" and recognizes positive emotions. Based on this, the server selects illustrations of "autumn scenery" and "field trip groups" and adjusts the layout with bright colors. It then generates and inserts an article titled "Autumn Nature Observation" for first-graders.

[1518] This system allows teachers to efficiently create high-quality educational communications, providing optimal information tailored to students' emotions and grade levels.

[1519] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1520] Step 1:

[1521] The user launches a dedicated application and inputs the theme of the educational communication. When the user inputs "Autumn field trip announcement," the device acquires this information. The input includes text data for the theme. The device converts this input data into JSON format and adds metadata such as the user ID and school ID. The output is request data in JSON format.

[1522] Step 2:

[1523] The terminal sends the generated JSON formatted request data to the server. The protocol used here is HTTP or HTTPS. The input contains the JSON formatted request data generated by the terminal. The server receives this request and prepares for analysis. The output is that the data has been transmitted to the server.

[1524] Step 3:

[1525] The server parses the received JSON data and uses a natural language processing (NLP) engine (such as NLTK or SpaCy) to extract important keywords from the text data. The input includes text data in JSON format. Specifically, the server extracts keywords such as "autumn" and "field trip." The output is a list of the extracted keywords.

[1526] Step 4:

[1527] The server uses an emotion engine (such as Hugging Face Transformers) to recognize the user's emotion from the input theme. The input includes text data. Specifically, positive emotion is detected from the sentence "I'm looking forward to the autumn field trip." The output is information about the recognized emotion.

[1528] Step 5:

[1529] The server accesses a database to select appropriate visual elements based on the extracted keywords and recognized emotions. The input includes a list of keywords and emotion information. Specifically, the server selects illustrations such as "Autumn Scenery" and "Snapshot of a Field Trip" and retrieves the corresponding data using an SQL query. The output is a list of selected visual elements.

[1530] Step 6:

[1531] The server uses a template engine (such as Jinja2) to set the layout of the educational newsletter. The input includes selected visual elements, extracted keywords, and recognized emotions. Specifically, the server generates a layout including a title, body text, illustrations, and seasonal articles, and uses bright colors for positive emotions. The output is the final layout data.

[1532] Step 7:

[1533] The server generates the completed layout data in PDF or HTML format and sends it to the terminal. The input includes the final layout data. The terminal displays the data received from the server. Specifically, it provides a screen that allows the user to review the generated educational communication. The output includes the educational communication displayed to the user.

[1534] Step 8:

[1535] The user checks the displayed content and,if necessary, corrects the text or adjusts the layout.,The input includes the content of the displayed educational,communication.,After the user makes the corrections, the final data is saved,in PDF or HTML format.,The output is the saved final educational communication data.

[1536] Step 9:

[1537] The user finally prints or emails the saved educational communication. The input includes the saved educational communication data. The user prints using a printer connected to the device or emails the educational communication using an email sending function. The output includes the printed document or the educational communication distributed in email format.

[1538] (Application example 2)

[1539] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1540] The purpose of this invention is to provide an efficient, high-quality communication tool for educational institutions and brick-and-mortar stores. In particular, it aims to solve the problem of providing information that takes into account the topic content and user emotions when educators want to quickly and efficiently create class newsletters and letters, or when store staff want to automatically generate information to smoothly handle customers.

[1541] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1542] In this invention, the server includes: means for a user to input a text topic for a class newsletter or letter; means for a terminal to transmit the input topic data to the server; means for the server to analyze the received topic data and extract related keywords; means for the server to recognize the user's emotions using an emotion engine; means for the server to select an appropriate illustration from a database based on the extracted keywords and the recognized emotions; means for the server to set a layout using a template engine and insert a specified topic, selected illustrations, and seasonal columns; means for the server to transmit the generated data to the terminal; means for the terminal to display the generated data to the user and for the user to confirm and edit the data; and means for the terminal to display the content of the conversation with the customer to staff as product information adjusted based on the emotion. This enables the creation of high-quality class newsletters and letters that take emotions into consideration based on the user's topic input, and efficient and appropriate customer service in physical stores.

[1543] "Users" are educators who use the system to create class newsletters and letters, or store staff who deal with customers in physical stores.

[1544] A "terminal" is a device operated by a user, and includes hardware such as a smartphone, tablet, or PC.

[1545] "Topic data" refers to the contents of class newsletters or letters entered by users, or customer service requests or consultations.

[1546] "Server" refers to a computer system that receives topic data, analyzes it, and generates the necessary information.

[1547] A "natural language processing engine" is a software engine used by the server to extract keywords from topic data.

[1548] An "emotion engine" is a software engine that recognizes emotions from user input data and reflects them in content.

[1549] A "database" is a storage device that the server accesses and stores related information, illustrations, etc.

[1550] A "template engine" is software used by the server to generate layouts by inserting specified topics and illustrations.

[1551] "Layout" refers to the appearance and structure of the generated class newsletter or letter, and includes the title, main text, illustrations, columns, etc.

[1552] "Seasonal columns" are information or articles related to a particular season that are automatically inserted into class newsletters and letters.

[1553] "Product information" refers to data about products that store staff present to customers, including prices, descriptions, promotional information, etc.

[1554] A "customer" is a consumer who visits a physical store to purchase a product or service.

[1555] The system of the present invention is useful for educators who want to efficiently create class newsletters and letters, and for customer service in brick-and-mortar stores. The entire system is composed of multiple elements, such as users, terminals, a server, a natural language processing engine, an emotion engine, a database, and a template engine.

[1556] Program processing

[1557] User

[1558] Users use the system to input text such as topics for class newsletters or letters, or customer service requests or inquiries, using devices such as smartphones, tablets, or PCs.

[1559] Terminal

[1560] The terminal is responsible for sending the data entered by the user to the server as a JSON-formatted request, including the user ID and other metadata, and for displaying the generated data received from the server to the user, allowing them to review and edit the data.

[1561] server

[1562] The server analyzes the received data and runs a natural language processing engine to extract relevant keywords. This engine understands the content of the text and extracts important keywords. It also uses an emotion engine to recognize emotions from the user's input data, allowing it to make appropriate adjustments in content creation.

[1563] The server then selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. This database stores various illustrations, product information, and promotional data. The selected illustrations and product information are then used to set up a layout using a template engine. The specified topic, the selected illustrations, and seasonal columns are inserted to generate the final layout.

[1564] Template Engines and Databases

[1565] The template engine is software used by the server to generate layouts by inserting specified topics and illustrations. The layout includes a title, main text, illustrations, columns, etc., and is adjusted appropriately according to the user's sentiment and topic. The database is a storage device that the server accesses and stores related information, illustrations, etc.

[1566] Specific examples

[1567] For example, if a user enters "I'm looking for a gift for a special occasion," the system will do the following:

[1568] 1. User types, "I'm looking for a gift for a special occasion."

[1569] 2. The device sends this data in JSON format to the server.

[1570] 3. The server uses a natural language processing engine to extract the keywords "special day" and "present."

[1571] 4. The emotion engine recognizes positive emotions.

[1572] 5. Select "luxury chocolate," "wine with special label," and "custom-made gifts" from the database and generate a layout using a template engine.

[1573] 6. The device displays the generated data to the user, who edits the information as needed.

[1574] Prompt Sentence Examples

[1575] A specific example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Such a prompt sentence allows the system to automatically generate appropriate product information and present it to the user.

[1576] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1577] Step 1:

[1578] The user inputs the topic of the class newsletter or letter as text. Specifically, the user inputs text information into an input field using a device such as a smartphone, tablet, or PC. This input data includes requests and inquiries regarding education and customer service. An example of input data is "Looking for a gift for a special occasion."

[1579] Input: Text data entered by the user

[1580] Output: Topic data entered in the terminal

[1581] Step 2:

[1582] The device converts the input topic data into JSON format and sends it to the server, including the user ID and other metadata. This process structures the topic data, making it easier for the server to parse.

[1583] Input: Entered topic data, user ID, metadata

[1584] Output: JSON representation of the request sent to the server

[1585] Step 3:

[1586] The server analyzes the received topic data and uses a natural language processing engine to extract important keywords from the text data, using an NLP model to analyze the meaning of the text and identify key keywords.

[1587] Input: The JSON formatted request sent to the server

[1588] Output: Extracted keywords

[1589] Step 4:

[1590] The server recognizes the user's emotions based on the extracted keywords using an emotion engine, which analyzes the tone and context of the text to identify positive, negative, neutral, and other emotions.

[1591] Input: Extracted keywords

[1592] Output: Recognized emotion

[1593] Step 5:

[1594] The server selects appropriate illustrations from a database based on the extracted keywords and the recognized emotions. The server searches the database for related illustrations and product information, and selects the item that best matches the user's input and emotion.

[1595] Input: extracted keywords, recognized sentiment

[1596] Output: Selected illustrations and product information

[1597] Step 6:

[1598] The server sets the layout using a template engine. The specified topic, selected illustrations, and seasonal columns are inserted into the template to generate the final layout. The template engine adjusts the layout and color tone based on the user's emotions.

[1599] Input: Selected illustrations, product information, designated topics, seasonal columns

[1600] Output: The generated layout

[1601] Step 7:

[1602] The server sends the generated data to the terminal, where it is encoded in PDF or HTML format and sent for user access.

[1603] Input: Generated layout

[1604] Output: Data sent to the terminal

[1605] Step 8:

[1606] The terminal displays the generated data to the user, who can then confirm and edit the data. The user can confirm the generated data and adjust the text and layout as necessary.

[1607] Input: Generated data

[1608] Output: Data displayed to the user

[1609] Examples of prompts:

[1610] An example of a prompt sentence is, "If I were looking for a gift for a special occasion, what product would you recommend?" Based on this prompt, the user can input more specific requests or situations into the system.

[1611] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1612] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1613] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1614] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1615] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1616] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1617] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1618] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1619] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1620] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1621] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1622] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1623] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1624] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1625] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1626] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1627] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1628] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1629] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1630] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1631] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1632] The following is further disclosed regarding the above embodiment.

[1633] (Claim 1)

[1634] A means for users to input text topics for class newsletters and letters,

[1635] A means for transmitting input topic data from the terminal to the server;

[1636] A means for analyzing the topic data received by the server and extracting related keywords;

[1637] A means for the server to select an appropriate illustration from a database based on the extracted keywords;

[1638] A means for the server to set a layout using a template engine and insert a designated topic, a selected illustration, and a seasonal column;

[1639] A means for the server to transmit the generated data to the terminal;

[1640] a terminal for displaying the generated data to a user, and a means for the user to confirm and edit the data;

[1641] A system including:

[1642] (Claim 2)

[1643] 10. The system of claim 1, further comprising means for the server to automatically generate seasonal columns according to school years for the topic input by the user.

[1644] (Claim 3)

[1645] 10. The system of claim 1, further comprising means for storing and distributing the user's final edited data.

[1646] "Example 1"

[1647] (Claim 1)

[1648] means for a user to input a text topic for a correspondence;

[1649] A means for transmitting input topic data from the terminal to a processing device;

[1650] means for analyzing the topic data received by the processing device and extracting related keywords;

[1651] A means for selecting appropriate image data from a data storage device based on the extracted keywords by the processing device;

[1652] means for the processing device to use a template constructor to set up a layout and insert designated topics, selected image data, and seasonal information;

[1653] means for transmitting the generated data to a terminal by the processing device;

[1654] means for the terminal to display the generated data to the user and for the user to review and edit the data;

[1655] A system including:

[1656] (Claim 2)

[1657] 2. The system according to claim 1, wherein the processing device automatically generates seasonal information according to the school year for the topic input by the user.

[1658] (Claim 3)

[1659] 10. The system of claim 1, further comprising means for storing and distributing the user's final edited data.

[1660] "Application Example 1"

[1661] (Claim 1)

[1662] a means for a user to input a topic in text;

[1663] A means for transmitting input topic data from the terminal to the server;

[1664] A means for analyzing the topic data received by the server and extracting related keywords;

[1665] A means for the server to select an appropriate illustration from a database based on the extracted keywords;

[1666] A means for the server to set a layout using a template engine and insert a designated topic, a selected illustration, and a seasonal column;

[1667] A means for the server to transmit the generated data to the terminal;

[1668] a terminal for displaying the generated data to a user, and a means for the user to confirm and edit the data;

[1669] a means for the user to store and distribute the final generated data by print or electronic means;

[1670] A system including:

[1671] (Claim 2)

[1672] 10. The system of claim 1, further comprising means for the server to automatically generate seasonal columns according to grade level or target demographic for the topic entered by the user.

[1673] (Claim 3)

[1674] The system of claim 1 provided as a smartphone application for efficiently creating and distributing notices and campaign information related to physical stores.

[1675] "Example 2: Combining Emotion Engines"

[1676] (Claim 1)

[1677] a means for a user to input a topic for an educational communication;

[1678] means for transmitting the theme data input by the terminal to the central processing unit;

[1679] means for analyzing the theme data received by the central processing unit and extracting related keywords;

[1680] means for the central processing unit to analyze user emotions from the theme data;

[1681] A means for selecting appropriate visual elements from a database based on the extracted keywords and the analyzed emotions by the central processing unit;

[1682] a means for the central processing unit to set a layout using a template engine and insert designated themes, selected visual elements, and seasonal articles;

[1683] means for transmitting the generated data to the terminal by the central processing unit;

[1684] a terminal for displaying the generated data to a user, and a means for the user to confirm and edit the data;

[1685] A system including:

[1686] (Claim 2)

[1687] 2. The system according to claim 1, wherein the central processing unit automatically generates seasonal articles according to the school year for the theme input by the user.

[1688] (Claim 3)

[1689] 10. The system of claim 1, further comprising means for storing and distributing the user's final edited data.

[1690] "Application example 2 when combining emotion engines"

[1691] (Claim 1)

[1692] A means for users to input text topics for class newsletters and letters,

[1693] A means for transmitting input topic data from the terminal to the server;

[1694] A means for analyzing the topic data received by the server and extracting related keywords;

[1695] A means for the server to recognize the user's emotion using an emotion engine;

[1696] A means for the server to select an appropriate illustration from a database based on the extracted keywords and the recognized emotions;

[1697] A means for the server to set a layout using a template engine and insert a designated topic, a selected illustration, and a seasonal column;

[1698] A means for the server to transmit the generated data to the terminal;

[1699] a terminal for displaying the generated data to a user, and a means for the user to confirm and edit the data;

[1700] A means for the terminal to display to the staff the content of the conversation with the customer as product information adjusted based on emotions;

[1701] A system including:

[1702] (Claim 2)

[1703] 10. The system of claim 1, further comprising means for the server to automatically generate seasonal columns according to school years for the topic input by the user.

[1704] (Claim 3)

[1705] 10. The system of claim 1, further comprising: means for storing and distributing the user's final edited data. [Explanation of symbols]

[1706] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to input text topics for class newsletters and letters, A means for transmitting input topic data from the terminal to the server; A means for analyzing the topic data received by the server and extracting related keywords; A means for the server to select an appropriate illustration from a database based on the extracted keywords; A server uses a template engine to set a layout and insert designated topics, selected illustrations, and seasonal columns; A means for the server to transmit the generated data to the terminal; a terminal for displaying the generated data to a user, and a means for the user to confirm and edit the data; A system including:

2. 2. The system of claim 1, further comprising means for the server to automatically generate seasonal columns according to school years for the topic input by the user.

3. 10. The system of claim 1, further comprising means for storing and distributing the user's final edited data.

Images