System

Abstract

A system is provided.SOLUTION: A system comprising: interface means for a user to enter text; analysis means for analyzing the text entered by the user in real time to identify key phrases and context; communication means for sending a request to a remote server to generate humorous or whity language based on the analysis; and display means for displaying the humorous or whity language received from the remote server on a user interface.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 recent years, the spread of social networking sites and messaging apps has increased communication among people, but frequent interactions and an excessive influx of information have led to social networking fatigue. Furthermore, there are limited ways for users to casually incorporate humor into their communication, and there is a lack of mechanisms to encourage meta-thinking. This makes it difficult for users to communicate in a fun and stress-free manner. [Means for solving the problem]

[0005] The present invention provides a system that includes an interface means for users to input text, an analysis means for analyzing the text input by the user in real time to identify key phrases and context, a communication means for sending a request to a remote server to generate humorous or witty phrases based on the analysis results, and a display means for displaying the humorous or witty phrases received from the remote server on the user's interface. This allows users to easily incorporate humor into their communication, which is expected to reduce social media fatigue and promote meta-thinking.

[0006] An "interface means" is a software or hardware component through which a user inputs text.

[0007] "Analysis means" refers to a function or algorithm that analyzes user-entered text in real time to identify key phrases and context.

[0008] The "communication means" is a network communication function for sending requests to a remote server to generate humorous or witty words based on the analysis results.

[0009] The "display means" is a screen display function for displaying humorous and witty words received from the remote server on the user's interface.

[0010] The "remote server" is a remote server computer that searches for related humor, puns, comic stories, or historical events based on the analysis results, generates suggestions, and transmits the suggestions to the terminal via a communication means.

[0011] "Natural language processing techniques" are fields and methods in computer science used to analyze the meaning of text entered by a user.

[0012] "Suggestions" are a collection of humorous and witty phrases that are suggested to the user in response to the text they enter.

[0013] "Humor" is a method of using words and expressions to entertain people.

[0014] "Wit" is an intelligent and witty way of using words and expressions.

[0015] A pun is a humorous use of words that uses homonyms or wordplay.

[0016] Rakugo is a traditional Japanese form of oral entertainment, a form of storytelling that incorporates humor and satire.

[0017] "Koji" are anecdotes and stories from ancient times, and generally contain moral lessons.

[0018] "SNS fatigue" is a general term for the fatigue and stress felt due to excessive use of SNS (social networking services).

[0019] "Meta-thinking" is a way of thinking that considers the idea itself, and includes self-reflection and maintaining an objective perspective. [Brief explanation of the drawings]

[0020] [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

[0021] 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.

[0022] First, the terms used in the following description will be explained.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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."

[0028] [First embodiment]

[0029] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0030] 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.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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."

[0041] The present invention is a system that suggests humorous and witty words when a user inputs text. This system integrates a text input interface, text analysis, communication between a server and a terminal, and a suggestion display function.

[0042] System Overview

[0043] The system consists of the following main components:

[0044] 1. Text Input Interface Means

[0045] 2. Text Analysis Methods

[0046] 3. Communication method to the server

[0047] 4. Suggestion display method

[0048] Program processing

[0049] 1. The phase where the user inputs characters

[0050] The user enters characters into a text input field in an application on the device or in a social networking site.

[0051] Example: A user types "Today."

[0052] 2. The phase where the device analyzes the input content in real time

[0053] The device monitors the text being entered in real time and uses natural language processing techniques to identify key phrases and context in the user's input.

[0054] Example: If a user types "today," the device will parse "today" as a key phrase.

[0055] 3. Requesting the analysis results from the server

[0056] The device sends a request to the server based on the analysis results, which includes key phrases and contextual information.

[0057] Example: A device sends a request to a server containing the key phrase "Today."

[0058] 4. Server-generated suggestions

[0059] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty phrases.

[0060] Example: The server searches for puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[0061] 5. The phase where suggestions are sent from the server to the device

[0062] The server returns the generated suggestions to the terminal.

[0063] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[0064] 6. The device displays suggestions to the user

[0065] The device displays the received suggestions in the text input interface.

[0066] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[0067] Specific examples

[0068] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today" and sends it to the server. The server generates an appropriate pun and sends it back to the device. If the device displays "It's sunny today, and so are the documents! It's a refreshing day," the user can easily select the suggestion, enabling humorous communication.

[0069] This system allows users to incorporate humor in real time while they are typing, which is expected to improve the quality of communication, reduce social media fatigue, and promote meta-thinking.

[0070] The processing flow will be explained below.

[0071] Step 1:

[0072] The user starts to input characters into the text input interface, and the terminal captures the characters in real time with each keystroke in the input field.

[0073] Step 2:

[0074] The device calls a natural language processing (NLP) engine to analyze the input string in real time. Specifically, the NLP engine extracts key phrases and context from the input text.

[0075] Step 3:

[0076] The device uses the extracted key phrases and contextual information to create a suggestion request, which includes the results of analyzing the text entered by the user.

[0077] Step 4:

[0078] The terminal sends a request for generating suggestions to a remote server. The communication means establishes an Internet connection and sends the request to the server.

[0079] Step 5:

[0080] The server receives the request and searches its database for humor, puns, comic stories, and historical events based on key phrases and contextual information. The server's algorithm selects the best suggestions.

[0081] Step 6:

[0082] The server sends the generated suggestions to the device as a response to the request, and the server returns a response.

[0083] Step 7:

[0084] The device receives the response from the server, analyzes the received suggestions, and prepares them for display.

[0085] Step 8:

[0086] The terminal displays the suggestions in the user's text input interface, and the display means visually presents the suggestions to the user.

[0087] Step 9:

[0088] The user checks the suggestions and selects one if necessary. When the user clicks on a suggestion, the content is reflected in the text field.

[0089] Step 10:

[0090] If the user continues to enter more text, the process repeats from step 1. The device again parses the new keyphrase and sends a request to the server.

[0091] Example 1

[0092] 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."

[0093] The challenge is that when users input text, their communication tends to be monotonous and stiff. Also, when users want to instantly use humorous or witty words, it often takes time to come up with the right expression. This reduces the quality of communication, leading to social networking fatigue and communication disruptions.

[0094] 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.

[0095] In this invention, the server includes an interface means for a user to input text, an analysis means for the terminal to analyze the text input by the user in real time to identify key phrases and context, a communication means for the terminal to send a request to a remote server to generate humorous or witty words based on the analysis results, and a means for the remote server to input a prompt sentence into a generation AI model to generate suggestions and display the humorous or witty words received from the remote server on the user's interface. This allows users to easily obtain humorous or witty suggestions in real time, improving the quality of communication and reducing SNS fatigue.

[0096] "Interface means" refers to a user interface for a user to input text.

[0097] "Analysis means" refers to a device or system that analyzes text entered by a user in real time to identify key phrases and context.

[0098] "Communication means" refers to a device or system for transmitting the analysis results of the analysis means to a remote server.

[0099] A "remote server" refers to a server that is connected to a terminal via a network and plays a role in generating humorous and witty suggestions based on the analysis results.

[0100] A "generative AI model" refers to an artificial intelligence model that generates humorous and witty suggestions based on an input prompt.

[0101] A "prompt sentence" refers to an input sentence that causes a generative AI model to generate a suggestion.

[0102] "Suggestions" refer to humorous or witty suggestions or phrases generated by a remote server using a generative AI model.

[0103] "Display means" refers to a device or system that displays suggestions received from a remote server on a user's interface.

[0104] "Key phrases" refer to words or phrases that have significant meaning in the text entered by the user.

[0105] "Contextual information" refers to surrounding information that can help a user better understand the meaning and intent of the text they enter.

[0106] The present invention is a system that suggests humorous and witty words when a user inputs text. This system is realized by integrating a text input interface, real-time analysis, communication between a server and a terminal, and a suggestion display function.

[0107] First, a user enters text into a text input field on a device such as a smartphone or computer. For example, a user might enter "Today" on a social networking site or messaging app. As the user types text, the device monitors it in real time.

[0108] Next, the device analyzes the input text using natural language processing technology. Examples of natural language processing (NLP) used include Google NLP and Hugging Face's BERT model. The device identifies key phrases and context from the input string and generates analysis results based on that. Here, the key phrase "Today" is extracted.

[0109] The device then sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The request is sent using the HTTPS protocol, ensuring fast and secure communication. For example, a request containing the key phrase "Today" is sent to the server.

[0110] Next, the server generates suggestions by inputting a prompt sentence into a generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The server generates a prompt sentence, for example, in the format "Please generate a humorous or witty suggestion based on the following key phrase. Key phrase: 'I have a lot of work to do today.'"

[0111] The server analyzes the suggestions obtained from the model and sends them to the device. For example, a suggestion such as "Today is a sunny day that makes you feel happy and laugh!" is generated and sent from the server to the device.

[0112] Finally, the terminal displays the suggestions received from the server on the user's interface, allowing the user to easily select and add the suggestion to the input. For example, the suggestion "Today is a sunny, laughter-filled day!" is displayed in the text input field.

[0113] This system will enable users to easily incorporate humorous and witty words in real time, which is expected to improve the quality of communication and reduce social media fatigue.

[0114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0115] Program processing flow (processing steps)

[0116] Step 1:

[0117] A user enters text into a text input field on a device. For example, they enter "Today" in a social networking site or messaging app. This input data becomes the input for the next processing step.

[0118] Step 2:

[0119] The device monitors the text entered by the user in real time and analyzes it using natural language processing technology. Examples of technologies used include Google NLP and Hugging Face's BERT model. Specifically, the device analyzes the input string "Today" and extracts key phrases and contextual information. The output is the key phrase "Today" and its contextual information.

[0120] Step 3:

[0121] The terminal sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The HTTPS protocol is used for transmission. Specifically, the terminal generates request data including the key phrase "Today" and sends it to the server. The output is the request data sent to the server.

[0122] Step 4:

[0123] The server inputs a prompt sentence into the generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The prompt sentence is "Generate humorous and witty suggestions based on the following key phrase. Key phrase: 'I have a lot of work to do today.'" Specifically, the server inputs the prompt sentence into the generative AI model to generate suggestions. The output is the generated suggestion data.

[0124] Step 5:

[0125] The server returns the generated suggestion to the terminal. Specifically, the server generates suggestion data such as "Today is a sunny day, and it makes you feel like laughing!" and sends it to the terminal. The output is the suggestion data sent to the terminal.

[0126] Step 6:

[0127] The terminal displays the suggestions received from the server on the user's interface. Specifically, the terminal displays the received suggestion data, "Today is a sunny day, and laughter is bright!" below the text input field. The output is the suggestion displayed on the user interface.

[0128] (Application example 1)

[0129] 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."

[0130] Traditional advertising creation requires a lot of time and effort for creators to come up with humorous and witty expressions. It's also difficult to instantly incorporate humor from diverse perspectives, which can result in a reduced advertising effectiveness. Furthermore, the manual process often leads to users losing their unique humor, making it difficult to generate expressions that maintain freshness and creativity.

[0131] 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.

[0132] In this invention, the server includes an interface means for a user to input characters, an analysis means for analyzing the characters input by the user in real time to identify key phrases and contexts, a communication means for sending a request to a remote server to generate humorous or witty expressions based on the analysis results, a display means for displaying the humorous or witty expressions received from the remote server on the user's interface, and a prompt sentence generation means for supporting advertisement creation. This enables creators to quickly and efficiently generate humorous or witty advertising phrases, thereby improving the effectiveness of advertisements.

[0133] The "interface means" refers to an input device or software system that allows a user to input characters.

[0134] "Analysis means" refers to technology that analyzes the characters entered by the user in real time and identifies key phrases and context.

[0135] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[0136] The "display means" is a technology for displaying humorous or witty expressions received from the remote server on the user's interface.

[0137] The "prompt sentence generation means" is a technology that suggests appropriate humorous and witty expressions to support advertising creation.

[0138] "Natural language processing technology" is a computer science technique for analyzing the meaning of characters entered by a user.

[0139] The "remote server" is a server system at a remote location that receives the analysis results and searches for and generates relevant humorous or witty expressions.

[0140] "Humorous and witty expressions" are expressions that provide fun and witty responses to user input.

[0141] "Advertising creation" is the process of creating advertising content that attracts viewers' attention for promotional and marketing purposes.

[0142] The present invention relates to a system for enabling users to generate humorous and witty expressions in advertising creation. The system includes, as its main components, an interface means, an analysis means, a communication means, a display means, and a prompt sentence generation means.

[0143] System Overview

[0144] Interface Means

[0145] An input device or software system that allows users to input characters. Examples include keyboards on smartphones and PCs, and touchscreens on tablets.

[0146] analytical means

[0147] This technology analyzes user-entered characters in real time to identify key phrases and context. It uses Python and the Transformers library (particularly the GPT-3 model) to analyze the input text.

[0148] communication means

[0149] This is a technology that sends requests to a remote server based on the analysis results. An example of this is an API request using the HTTP protocol.

[0150] Display means

[0151] This technology allows humorous and witty expressions received from a remote server to be displayed on the user's interface, such as on a smartphone or PC screen.

[0152] Prompt generation method

[0153] This technology suggests appropriate humorous and witty expressions to support ad creation. It is generated using a generative AI model (e.g., GPT-3).

[0154] Example

[0155] Specific examples are shown below.

[0156] A user uses a smartphone to input "New products are...". This input is acquired through an interface means, and the key phrase "New products" is extracted in real time by an analysis means. The analysis results are sent to a remote server via a communication means. The remote server searches for and generates related humorous or witty expressions based on the received key phrase.

[0157] For example, the remote server generates a humorous expression such as "The new product will shine even brighter tomorrow!" and sends it back to the user's terminal via the communication means. This suggestion is displayed on the user's interface by the display means, so the user can easily select it and incorporate it into their advertisement.

[0158] Example prompt sentence:

[0159] "New products are"

[0160] This system allows ad creators to quickly generate humorous and witty ad phrases while significantly reducing the time and effort required, thereby improving the effectiveness of ads and capturing the attention of viewers.

[0161] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0162] Step 1:

[0163] The user inputs characters using the user interface means. This allows the user to input text using the keyboard of a smartphone or computer. The input character string is acquired by the interface means. For example, the user inputs "The new product is..."

[0164] Input: The string entered by the user (e.g., "The new product is...")

[0165] Output: String obtained by interface means

[0166] Step 2:

[0167] The device uses analytics to analyze the captured text in real time. Specifically, it uses Python and the Transformers library (e.g., the GPT-3 model) to analyze the text. This analysis identifies key phrases and context.

[0168] Input: A string obtained through an interface (e.g., "The new product is...")

[0169] Output: Analyzed key phrases and context (e.g. "new product")

[0170] Step 3:

[0171] The device uses the communication method to send a request to a remote server based on the analyzed key phrases and context. The request is sent in JSON format using the HTTP protocol.

[0172] Input: Parsed key phrase and context (e.g. "new product")

[0173] Output: Request sent to remote server

[0174] Step 4:

[0175] Based on the received request, a remote server generates relevant humorous or witty expressions. The server uses a database or a generative AI model (e.g., GPT-3) to search for and generate the most appropriate expressions.

[0176] Input: The request sent to the remote server (e.g., the "new product" key phrase)

[0177] Output: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[0178] Step 5:

[0179] The remote server returns the generated representation to the terminal, which is transmitted to the terminal via a communication means.

[0180] Input: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[0181] Output: The generated representation sent back to the terminal

[0182] Step 6:

[0183] The terminal displays the received expressions on the user interface means, and the user can check the displayed humorous and witty expressions and incorporate them into his or her own advertisement creations as needed.

[0184] Input: The generated expression sent back to the device (e.g., "The new product will be even more brilliant tomorrow!")

[0185] Output: Humorous or witty remarks displayed

[0186] In this way, the specific actions and data flow at each step are explained, making it clear the entire process, from the characters entered by the user to the final display of the representation generated by the remote server.

[0187] 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.

[0188] The present invention is a system that suggests humorous and witty words as the user types text, and also combines an emotion engine that recognizes the user's emotions. This system integrates a text input interface, text and emotion analysis, communication between the server and the terminal, and suggestion display functions.

[0189] System Overview

[0190] The system consists of the following main components:

[0191] 1. Text Input Interface Means

[0192] 2. Text and Sentiment Analysis Methods

[0193] 3. Communication method to the server

[0194] 4. Suggestion display method

[0195] 5. Emotion Engine

[0196] Program processing

[0197] 1. The phase where the user inputs characters

[0198] The user enters characters into a text input field in an application on the device or in a social networking site.

[0199] Example: A user types "Today."

[0200] 2. The phase where the device analyzes the input content in real time

[0201] The device monitors the input text in real time, invokes a natural language processing (NLP) engine, and further analyzes emotions from the user's input text through an emotion engine.

[0202] Example: If a user types "today," the device analyzes "today" as a key phrase, and the emotion engine analyzes that the user's emotion is positive.

[0203] 3. Requesting the analysis results from the server

[0204] The device sends a request to the server based on the analysis results, which includes key phrases, context information, and user emotion information.

[0205] Example: A device sends a request to a server containing the key phrase "Today" and a positive sentiment.

[0206] 4. Server-generated suggestions

[0207] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty words, and also selects the best suggestions based on emotional information and adapts the content.

[0208] Example: The server searches for positive puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[0209] 5. The phase where suggestions are sent from the server to the device

[0210] The server returns the generated suggestions to the terminal.

[0211] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[0212] 6. The device displays suggestions to the user

[0213] The device displays the received suggestions in the text input interface.

[0214] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[0215] Specific examples

[0216] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today," and the emotion engine analyzes that the user's emotion indicates stress. The server generates an appropriate humorous suggestion and sends it back to the device. If the device displays "My work is piling up, but looking at the mountains makes me feel lighter!", the user can easily select the suggestion, enabling humorous communication.

[0217] This system allows users to incorporate humor into their input in real time, improving the quality of communication, reducing social media fatigue, and promoting meta-thinking. In addition, the introduction of an emotion engine will further enhance the effect by providing suggestions that match the user's emotions.

[0218] The processing flow will be explained below.

[0219] Step 1:

[0220] The user begins to enter characters into the text input interface, which causes keyboard events to be generated and the terminal monitors the contents of the input field in real time.

[0221] Step 2:

[0222] The device takes the input string and calls a natural language processing (NLP) engine, which analyzes the string to identify key phrases and context.

[0223] Step 3:

[0224] Based on the analyzed key phrases and context, the device calls the emotion engine, which analyzes the emotion (e.g., positive, negative, neutral) from the user's input text.

[0225] Step 4:

[0226] Based on the analysis results, the device creates a request to generate humorous or witty phrases. This request includes key phrases, contextual information, and user emotional information.

[0227] Step 5:

[0228] The terminal transmits a request to the remote server via a communication means, and the remote server receives the request.

[0229] Step 6:

[0230] The server analyzes the incoming request and searches a database for relevant humorous or witty phrases. The server's algorithm then selects the best suggestions, taking into account the emotional information.

[0231] Step 7:

[0232] The server sends the generated suggestions back to the device as a response. The response from the server arrives at the device.

[0233] Step 8:

[0234] The device receives the response from the server, analyzes the suggestion content, and prepares to display the analyzed suggestions.

[0235] Step 9:

[0236] The terminal displays the suggestions in the user's text input interface, and the suggestions are visually presented to the user through the display means.

[0237] Step 10:

[0238] The user checks the suggestions presented and clicks on them as necessary. When the user clicks on a suggestion, the content is reflected in the text field and the input is confirmed.

[0239] Step 11:

[0240] If the user continues to enter more text, the process repeats from step 1 to step 10. Each time the user input changes, new keyphrase and sentiment analysis is performed and new suggestions are generated.

[0241] Example 2

[0242] 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."

[0243] Conventional text input assistance systems lack the ability to suggest appropriate humorous or witty words in real time as the user types, which prevents them from improving the quality of communication. Furthermore, suggestions may be inappropriate because they do not take the user's emotions into account. Therefore, there is a need for a system that can provide appropriate suggestions in real time based on the user's emotions.

[0244] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for a user to input text, an analysis means for analyzing the text input by the user in real time to identify key phrases and context, a communication means for sending a request to a remote computer to generate humorous or witty words based on the analysis results, a display means for displaying the humorous or witty words received from the remote computer on the user's interface, an emotion analysis means for analyzing emotions from the user's input text, and an integration means for integrating the analysis results of the emotion analysis means into the analysis means. This makes it possible to provide appropriate suggestions according to the user's emotions in real time.

[0245] "Input means" refers to an interface for a user to input text, and includes, for example, a keyboard, a touch screen, a voice input device, and the like.

[0246] The "analysis means" is an element that has the function of analyzing the text entered by the user in real time and identifying key phrases and context.

[0247] The "communication means" is an element having a function of transmitting a request from the terminal to a remote computer to generate humorous or witty words based on the analysis results.

[0248] The "display means" is an element having the function of displaying humorous or witty words received from a remote computer on the user's interface.

[0249] The "emotion analysis means" is an element that has the function of analyzing emotions from the user's input text. The emotion engine is used to identify the user's emotions.

[0250] The "integration means" is an element having a function of integrating the emotion information analyzed by the emotion analysis means into the analysis means and processing it in an integrated manner as an analysis result.

[0251] "Remote computer" refers to a server or cloud-based system that receives communications from a device, analyzes the results, generates humorous or witty remarks, and sends them back to the device.

[0252] To implement this invention, the following system configuration and processing are required: This system provides a function to suggest humorous and witty words when a user inputs text, and recognizes the user's emotions to generate appropriate suggestions.

[0253] System Configuration

[0254] The system mainly consists of the following components:

[0255] 1. Input Method

[0256] An interface through which a user inputs text. Examples include keyboards, touchscreens, and voice input devices.

[0257] 2. Analysis method

[0258] It uses a natural language processing (NLP) engine to analyze user-entered text in real time and identify key phrases and context.

[0259] 3. Means of communication

[0260] It has the ability to send requests to a remote computer to generate humorous or witty remarks based on the analysis results. The means of communication include transmitting data over the Internet.

[0261] 4. Display means

[0262] It has the ability to display humorous and witty phrases received from a remote computer in the user's interface, allowing the user to see the suggestions in real time.

[0263] 5. Emotion analysis method

[0264] It has the ability to analyze emotions from user input text. A sentiment analysis engine is used to identify emotions such as positive and negative.

[0265] 6. Integration Methods

[0266] It has a function to integrate the results of the emotion analysis means into the analysis means and process them in an integrated manner as the final analysis result.

[0267] Processing flow and specific examples

[0268] The specific process flow of this system and an example are shown below:

[0269] 1. Text Input

[0270] The user types, "I have a lot of work to do today."

[0271] 2. Real-time analysis

[0272] The device analyzes this input in real time and identifies the key phrase "today."

[0273] The emotion analysis engine analyzes the user's emotions and determines that the user is feeling stressed.

[0274] 3. Sending a request

[0275] The device sends a request containing the analysis results (the key phrase "today" and the emotional information "stress") to the remote computer.

[0276] 4. Suggestion Generation

[0277] Based on the request, the remote computer uses a database and algorithms to generate a suggestion such as, "You have a lot of work to do, but looking at the mountains makes you feel lighter!"

[0278] 5. Displaying suggestions

[0279] The remote computer sends suggestions to the terminal, which then displays them on the user's interface.

[0280] Examples and prompts

[0281] For example, if a user starts typing "I have a lot of work to do today" in the morning, the device will identify the key phrase "today," and the sentiment analysis engine will determine that the user is feeling stressed. The remote computer will generate appropriate humor and suggest, "My work is piling up, but looking at the mountains makes me feel better!" The device will then display this suggestion to the user, allowing the user to communicate with humor.

[0282] Example prompt sentence:

[0283] When you type "I have a lot of work to do today," the suggestion is: "My work is piling up, but looking at the mountains makes me feel lighter!"

[0284] In this way, the present invention improves the quality of communication by analyzing the user's input and emotions in real time and providing appropriate suggestions.

[0285] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0286] Step 1:

[0287] The user inputs text. The user inputs "I have a lot of work to do today" into the text input field of the terminal. This input data is sent to the terminal as text.

[0288] Step 2:

[0289] The device analyzes the input content in real time. The device receives the input text and calls a natural language processing (NLP) engine. The NLP engine analyzes the text "I have a lot of work to do today" and extracts the key phrase "today" and contextual information. The extracted information is generated as intermediate data.

[0290] Step 3:

[0291] The emotion analysis means analyzes the user's emotions in real time. The device uses an emotion engine to analyze the user's emotions from the text "I have a lot of work to do today." The emotion engine identifies that the user is feeling "stressed." The results of the emotion analysis are generated as intermediate data along with the emotion information.

[0292] Step 4:

[0293] The analyzed key phrases and emotional information are integrated. The device integrates the intermediate data from the analysis means and the emotional analysis means, and generates the final analysis result, "Key phrase: Today, Emotion: Stress." This integrated data becomes the input data for the request to the server.

[0294] Step 5:

[0295] The device sends a request to the server. The device then sends the integrated analysis results to the remote computer (server). The request includes the data "key phrase: today, emotion: stress." This is delivered to the server as a request.

[0296] Step 6:

[0297] The server generates suggestions. The server analyzes the request data received from the device, "Key phrase: Today, Emotion: Stress," and generates appropriate suggestions using a database and algorithms. The server generates humorous suggestions such as "My work is piling up, but looking at the mountains makes me feel lighter!" This is the server's output data.

[0298] Step 7:

[0299] The server sends the generated suggestion to the device. The server returns the generated suggestion, "My work is piling up, but looking at the mountains makes me feel lighter!" to the device. This suggestion becomes the response to the device.

[0300] Step 8:

[0301] The device displays the received suggestions to the user. The device displays the received suggestions in the interface. Specifically, the suggestion "I have a lot of work to do, but looking at the mountains makes me feel lighter!" is displayed below the text input field. The user can check this suggestion and click it to add it to the text if necessary.

[0302] (Application example 2)

[0303] 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."

[0304] When users input text, especially in situations such as product reviews, there is a need to improve the quality of communication by incorporating humorous and witty expressions that reflect emotions and context. However, conventional text input systems lack the ability to analyze users' emotions and suggest humorous comments accordingly, making it difficult to generate appropriate comments at the right time. There is also a need for a system that allows users to enjoy and feel satisfied in the review writing process.

[0305] 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.

[0306] In this invention, the server includes means for suggesting optimal humorous or witty words based on the analyzed emotional information, means for analyzing the user's emotional state by combining the emotion analysis means, and means for displaying the humorous or witty words received from the remote server on the user's interface. This allows the user to receive humorous or witty suggestions in real time that correspond to their emotions when writing a product review, thereby improving satisfaction in the review writing process and the quality of communication.

[0307] A "user" is a person who operates a system or application.

[0308] "Text input" refers to the act of a user inputting text information.

[0309] "Interface means" refers to a screen or tool that allows a user to input text information into a system or application.

[0310] "Analysis means" refers to technology that monitors input text in real time and identifies key phrases and context.

[0311] "Emotion analysis means" is a technique for identifying the user's emotional state from input text.

[0312] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[0313] The "remote server" is a server located at a remote location via a network, and is a server for analyzing data and generating suggestions.

[0314] The "display means" refers to a technique for visually displaying humorous or witty remarks received from the remote server to the user.

[0315] "Humorous or witty language" is an expression or comment that provokes laughter or wit, depending on the context in which it is used.

[0316] "Emotion information" is the emotional state at that time analyzed from the text entered by the user.

[0317] The present invention is a system that suggests humorous and witty words when a user inputs text, and further combines it with an emotion engine that analyzes the user's emotions. This system integrates a text input interface means, a text and emotion analysis means, a communication means with a server, and a suggestion display means.

[0318] System configuration

[0319] 1. Text Input Interface Means

[0320] Screens and tools for users to input text include text input fields in smartphone applications.

[0321] 2. Text and Sentiment Analysis Methods

[0322] We use natural language processing technology (e.g., spaCy) to analyze user-entered text in real time, identifying key phrases and context from the text, and then use sentiment analysis tools (e.g., IBM Watson Tone Analyzer) to analyze emotional information.

[0323] 3. Communication method to the server

[0324] WebSocket technology is used to send the input text and analysis results to a remote server, allowing for real-time data communication.

[0325] 4. Suggestion display method

[0326] This technology allows users to receive humorous or witty suggestions from a remote server and display them in a text input field. The suggestions are displayed on the smartphone interface.

[0327] Software and Hardware Usage

[0328] NLP engine: Uses spaCy or NLTK to analyze text and identify key phrases.

[0329] Sentiment Engine: Uses IBM Watson Tone Analyzer to analyze the sentiment of text entered by the user.

[0330] Server: Uses AWS Lambda to analyze data and generate suggestions.

[0331] Real-time communication: Analysis results are quickly sent and received between the server and the client using WebSocket.

[0332] Device: Uses a smartphone and offers applications that run on iOS and Android platforms.

[0333] Specific usage scenarios

[0334] For example, suppose a user types "This product is..." into a review on an online shopping site. The NLP engine analyzes this text, identifies key phrases, and the sentiment engine analyzes positive sentiment. The analysis results are sent to a server, which searches a database to generate the most appropriate humorous or witty comment. This comment is sent to the user's smartphone in real time, and a suggestion such as "This product is great! It's as useful as a magic wand!" is displayed in the user's input field.

[0335] Prompt Sentence Examples

[0336] "When a user types 'this product' in a product review, generate a humorous or witty comment. Assume the user's sentiment is positive."

[0337] In this way, the system of the present invention can provide a more enjoyable review writing experience by providing humorous and witty comments that are adapted to the user's emotions and the text content.

[0338] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0339] Step 1:

[0340] A user inputs "This product is" into a text input field of a smartphone. The input is acquired in real time via a text input interface means. The input data is "This product is."

[0341] Step 2:

[0342] The terminal sends the input text to an NLP engine (e.g., spaCy) to identify key phrases and context. The input data is "This product is", and the NLP engine analyzes it to extract the key phrase "This product is". The analyzed data "Key phrase: This product is".

[0343] Step 3:

[0344] The terminal sends the analyzed data to an emotion engine (e.g., IBM Watson Tone Analyzer) to analyze the emotional state of the input text. The input data is an emotion analysis request for "This product", and the emotion engine analyzes it and determines the emotional information as "positive". The analyzed emotion data "Emotion: Positive" is obtained.

[0345] Step 4:

[0346] The terminal sends the analyzed emotion data and key phrase data to the server. The input data is "key phrase: this product, emotion: positive", and the server receives the request based on this. The received data "key phrase: this product, emotion: positive" is stored.

[0347] Step 5:

[0348] The server searches the database based on the analyzed data and sentiment data to generate relevant humorous and witty phrases. The input data is "key phrase: this product, sentiment: positive", and the server searches the database to generate suggestions. The generated suggestion data is "This product is great! It's as convenient as a magic wand!"

[0349] Step 6:

[0350] The server returns the generated suggestion data to the device. The input data is "This product is great! It's as convenient as a magic wand!", and the device receives it. The received data is saved as "This product is great! It's as convenient as a magic wand!".

[0351] Step 7:

[0352] The device receives a humorous or witty phrase and displays it in the text input field. The input data is "This product is great! It's as convenient as a magic wand!" and is displayed in the user interface. The display data is "This product is great! It's as convenient as a magic wand!".

[0353] This allows appropriate humorous and witty comments to be displayed in real time in response to the text entered by the user, making the system easy to use.

[0354] 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.

[0355] 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.

[0356] 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.

[0357] [Second embodiment]

[0358] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0359] 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.

[0360] 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).

[0361] 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.

[0362] 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.

[0363] 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).

[0364] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for 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.

[0365] 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.

[0366] 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.

[0367] 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.

[0368] 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.

[0369] 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."

[0370] The present invention is a system that suggests humorous and witty words when a user inputs text. This system integrates a text input interface, text analysis, communication between a server and a terminal, and a suggestion display function.

[0371] System Overview

[0372] The system consists of the following main components:

[0373] 1. Text Input Interface Means

[0374] 2. Text Analysis Methods

[0375] 3. Communication method to the server

[0376] 4. Suggestion display method

[0377] Program processing

[0378] 1. The phase where the user inputs characters

[0379] The user enters characters into a text input field in an application on the device or in a social networking site.

[0380] Example: A user types "Today."

[0381] 2. The phase where the device analyzes the input content in real time

[0382] The device monitors the text being entered in real time and uses natural language processing techniques to identify key phrases and context in the user's input.

[0383] Example: If a user types "today," the device will parse "today" as a key phrase.

[0384] 3. Requesting the analysis results from the server

[0385] The device sends a request to the server based on the analysis results, which includes key phrases and contextual information.

[0386] Example: A device sends a request to a server containing the key phrase "Today."

[0387] 4. Server-generated suggestions

[0388] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty phrases.

[0389] Example: The server searches for puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[0390] 5. The phase where suggestions are sent from the server to the device

[0391] The server returns the generated suggestions to the terminal.

[0392] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[0393] 6. The device displays suggestions to the user

[0394] The device displays the received suggestions in the text input interface.

[0395] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[0396] Specific examples

[0397] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today" and sends it to the server. The server generates an appropriate pun and sends it back to the device. If the device displays "It's sunny today, and so are the documents! It's a refreshing day," the user can easily select the suggestion, enabling humorous communication.

[0398] This system allows users to incorporate humor in real time while they are typing, which is expected to improve the quality of communication, reduce social media fatigue, and promote meta-thinking.

[0399] The processing flow will be explained below.

[0400] Step 1:

[0401] The user starts to input characters into the text input interface, and the terminal captures the characters in real time with each keystroke in the input field.

[0402] Step 2:

[0403] The device calls a natural language processing (NLP) engine to analyze the input string in real time. Specifically, the NLP engine extracts key phrases and context from the input text.

[0404] Step 3:

[0405] The device uses the extracted key phrases and contextual information to create a suggestion request, which includes the results of analyzing the text entered by the user.

[0406] Step 4:

[0407] The terminal sends a request for generating suggestions to a remote server. The communication means establishes an Internet connection and sends the request to the server.

[0408] Step 5:

[0409] The server receives the request and searches its database for humor, puns, comic stories, and historical events based on key phrases and contextual information. The server's algorithm selects the best suggestions.

[0410] Step 6:

[0411] The server sends the generated suggestions to the device as a response to the request, and the server returns a response.

[0412] Step 7:

[0413] The device receives the response from the server, analyzes the received suggestions, and prepares them for display.

[0414] Step 8:

[0415] The terminal displays the suggestions in the user's text input interface, and the display means visually presents the suggestions to the user.

[0416] Step 9:

[0417] The user checks the suggestions presented and selects one if necessary. When the user clicks on a suggestion, the content is reflected in the text field.

[0418] Step 10:

[0419] If the user continues to enter more text, the process repeats from step 1. The device again parses the new keyphrase and sends a request to the server.

[0420] Example 1

[0421] 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."

[0422] The challenge is that when users input text, their communication tends to be monotonous and stiff. Also, when users want to instantly use humorous or witty words, it often takes time to come up with the right expression. This reduces the quality of communication, leading to social networking fatigue and communication disruptions.

[0423] 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.

[0424] In this invention, the server includes an interface means for a user to input text, an analysis means for the terminal to analyze the text input by the user in real time to identify key phrases and context, a communication means for the terminal to send a request to a remote server to generate humorous or witty words based on the analysis results, and a means for the remote server to input a prompt sentence into a generation AI model to generate suggestions and display the humorous or witty words received from the remote server on the user's interface. This allows users to easily obtain humorous or witty suggestions in real time, improving the quality of communication and reducing SNS fatigue.

[0425] "Interface means" refers to a user interface for a user to input text.

[0426] "Analysis means" refers to a device or system that analyzes text entered by a user in real time to identify key phrases and context.

[0427] "Communication means" refers to a device or system for transmitting the analysis results of the analysis means to a remote server.

[0428] A "remote server" refers to a server that is connected to a terminal via a network and plays a role in generating humorous and witty suggestions based on the analysis results.

[0429] A "generative AI model" refers to an artificial intelligence model that generates humorous and witty suggestions based on an input prompt.

[0430] A "prompt sentence" refers to an input sentence that causes a generative AI model to generate a suggestion.

[0431] "Suggestions" refer to humorous or witty suggestions or phrases generated by a remote server using a generative AI model.

[0432] "Display means" refers to a device or system that displays suggestions received from a remote server on a user's interface.

[0433] "Key phrases" refer to words or phrases that have significant meaning in the text entered by the user.

[0434] "Contextual information" refers to surrounding information that can help a user better understand the meaning and intent of the text they enter.

[0435] The present invention is a system that suggests humorous and witty words when a user inputs text. This system is realized by integrating a text input interface, real-time analysis, communication between a server and a terminal, and a suggestion display function.

[0436] First, a user enters text into a text input field on a device such as a smartphone or computer. For example, a user might enter "Today" on a social networking site or messaging app. As the user types text, the device monitors it in real time.

[0437] Next, the device analyzes the input text using natural language processing technology. Examples of natural language processing (NLP) used include Google NLP and Hugging Face's BERT model. The device identifies key phrases and context from the input string and generates analysis results based on that. Here, the key phrase "Today" is extracted.

[0438] The device then sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The request is sent using the HTTPS protocol, ensuring fast and secure communication. For example, a request containing the key phrase "Today" is sent to the server.

[0439] Next, the server generates suggestions by inputting a prompt sentence into a generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The server generates a prompt sentence, for example, in the format "Please generate a humorous or witty suggestion based on the following key phrase. Key phrase: 'I have a lot of work to do today.'"

[0440] The server analyzes the suggestions obtained from the model and sends them to the device. For example, a suggestion such as "Today is a sunny day that makes you feel happy and laugh!" is generated and sent from the server to the device.

[0441] Finally, the terminal displays the suggestions received from the server on the user's interface, allowing the user to easily select and add the suggestion to the input. For example, the suggestion "Today is a sunny, laughter-filled day!" is displayed in the text input field.

[0442] This system will enable users to easily incorporate humorous and witty words in real time, which is expected to improve the quality of communication and reduce social media fatigue.

[0443] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0444] Program processing flow (processing steps)

[0445] Step 1:

[0446] A user enters text into a text input field on a device. For example, they enter "Today" in a social networking site or messaging app. This input data becomes the input for the next processing step.

[0447] Step 2:

[0448] The device monitors the text entered by the user in real time and analyzes it using natural language processing technology. Examples of technologies used include Google NLP and Hugging Face's BERT model. Specifically, the device analyzes the input string "Today" and extracts key phrases and contextual information. The output is the key phrase "Today" and its contextual information.

[0449] Step 3:

[0450] The terminal sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The HTTPS protocol is used for transmission. Specifically, the terminal generates request data including the key phrase "Today" and sends it to the server. The output is the request data sent to the server.

[0451] Step 4:

[0452] The server inputs a prompt sentence into the generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The prompt sentence is "Generate humorous and witty suggestions based on the following key phrase. Key phrase: 'I have a lot of work to do today.'" Specifically, the server inputs the prompt sentence into the generative AI model to generate suggestions. The output is the generated suggestion data.

[0453] Step 5:

[0454] The server returns the generated suggestion to the terminal. Specifically, the server generates suggestion data such as "Today is a sunny day, and it makes you feel like laughing!" and sends it to the terminal. The output is the suggestion data sent to the terminal.

[0455] Step 6:

[0456] The terminal displays the suggestions received from the server on the user's interface. Specifically, the terminal displays the received suggestion data, "Today is a sunny day, and laughter is bright!" below the text input field. The output is the suggestion displayed on the user interface.

[0457] (Application example 1)

[0458] 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."

[0459] Traditional advertising creation requires a lot of time and effort for creators to come up with humorous and witty expressions. It's also difficult to instantly incorporate humor from diverse perspectives, which can result in a reduced advertising effectiveness. Furthermore, the manual process often leads to users losing their unique humor, making it difficult to generate expressions that maintain freshness and creativity.

[0460] 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.

[0461] In this invention, the server includes an interface means for a user to input characters, an analysis means for analyzing the characters input by the user in real time to identify key phrases and contexts, a communication means for sending a request to a remote server to generate humorous or witty expressions based on the analysis results, a display means for displaying the humorous or witty expressions received from the remote server on the user's interface, and a prompt sentence generation means for supporting advertisement creation. This enables creators to quickly and efficiently generate humorous or witty advertising phrases, thereby improving the effectiveness of advertisements.

[0462] The "interface means" refers to an input device or software system that allows a user to input characters.

[0463] "Analysis means" refers to technology that analyzes the characters entered by the user in real time and identifies key phrases and context.

[0464] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[0465] The "display means" is a technology for displaying humorous or witty expressions received from the remote server on the user's interface.

[0466] The "prompt sentence generation means" is a technology that suggests appropriate humorous and witty expressions to support advertising creation.

[0467] "Natural language processing technology" is a computer science technique for analyzing the meaning of characters entered by a user.

[0468] The "remote server" is a server system at a remote location that receives the analysis results and searches for and generates relevant humorous or witty expressions.

[0469] "Humorous and witty expressions" are expressions that provide fun and witty responses to user input.

[0470] "Advertising creation" is the process of creating advertising content that attracts viewers' attention for promotional and marketing purposes.

[0471] The present invention relates to a system for enabling users to generate humorous and witty expressions in advertising creation. The system includes, as its main components, an interface means, an analysis means, a communication means, a display means, and a prompt sentence generation means.

[0472] System Overview

[0473] Interface Means

[0474] An input device or software system that allows users to input characters. Examples include keyboards on smartphones and PCs, and touchscreens on tablets.

[0475] analytical means

[0476] This technology analyzes user-entered characters in real time to identify key phrases and context. It uses Python and the Transformers library (particularly the GPT-3 model) to analyze the input text.

[0477] communication means

[0478] This is a technology that sends requests to a remote server based on the analysis results. An example of this is an API request using the HTTP protocol.

[0479] Display means

[0480] This technology allows humorous and witty expressions received from a remote server to be displayed on the user's interface, such as on a smartphone or PC screen.

[0481] Prompt generation method

[0482] This technology suggests appropriate humorous and witty expressions to support ad creation. It is generated using a generative AI model (e.g., GPT-3).

[0483] Example

[0484] Specific examples are shown below.

[0485] A user uses a smartphone to input "New products are...". This input is acquired through an interface means, and the key phrase "New products" is extracted in real time by an analysis means. The analysis results are sent to a remote server via a communication means. The remote server searches for and generates related humorous or witty expressions based on the received key phrase.

[0486] For example, the remote server generates a humorous expression such as "The new product will shine even brighter tomorrow!" and sends it back to the user's terminal via the communication means. This suggestion is displayed on the user's interface by the display means, so the user can easily select it and incorporate it into their advertisement.

[0487] Example prompt sentence:

[0488] "New products are"

[0489] This system allows ad creators to quickly generate humorous and witty ad phrases while significantly reducing the time and effort required, thereby improving the effectiveness of ads and capturing the attention of viewers.

[0490] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0491] Step 1:

[0492] The user inputs characters using the user interface means. This allows the user to input text using the keyboard of a smartphone or computer. The input character string is acquired by the interface means. For example, the user inputs "The new product is..."

[0493] Input: The string entered by the user (e.g., "The new product is...")

[0494] Output: String obtained by interface means

[0495] Step 2:

[0496] The device uses analytics to analyze the captured text in real time. Specifically, it uses Python and the Transformers library (e.g., the GPT-3 model) to analyze the text. This analysis identifies key phrases and context.

[0497] Input: A string obtained through an interface (e.g., "The new product is...")

[0498] Output: Analyzed key phrases and context (e.g. "new product")

[0499] Step 3:

[0500] The device uses the communication method to send a request to a remote server based on the analyzed key phrases and context. The request is sent in JSON format using the HTTP protocol.

[0501] Input: Parsed key phrase and context (e.g. "new product")

[0502] Output: Request sent to remote server

[0503] Step 4:

[0504] Based on the received request, a remote server generates relevant humorous or witty expressions. The server uses a database or a generative AI model (e.g., GPT-3) to search for and generate the most appropriate expressions.

[0505] Input: The request sent to the remote server (e.g., the "new product" key phrase)

[0506] Output: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[0507] Step 5:

[0508] The remote server returns the generated representation to the terminal, which is transmitted to the terminal via a communication means.

[0509] Input: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[0510] Output: The generated representation sent back to the terminal

[0511] Step 6:

[0512] The terminal displays the received expressions on the user interface means, and the user can check the displayed humorous and witty expressions and incorporate them into his or her own advertisement creations as needed.

[0513] Input: The generated expression sent back to the device (e.g., "The new product will be even more brilliant tomorrow!")

[0514] Output: Humorous or witty remarks displayed

[0515] In this way, the specific actions and data flow at each step are explained, making it clear the entire process, from the characters entered by the user to the final display of the representation generated by the remote server.

[0516] 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.

[0517] The present invention is a system that suggests humorous and witty words as the user types text, and also combines an emotion engine that recognizes the user's emotions. This system integrates a text input interface, text and emotion analysis, communication between the server and the terminal, and suggestion display functions.

[0518] System Overview

[0519] The system consists of the following main components:

[0520] 1. Text Input Interface Means

[0521] 2. Text and Sentiment Analysis Methods

[0522] 3. Communication method to the server

[0523] 4. Suggestion display method

[0524] 5. Emotion Engine

[0525] Program processing

[0526] 1. The phase where the user inputs characters

[0527] The user enters characters into a text input field in an application on the device or in a social networking site.

[0528] Example: A user types "Today."

[0529] 2. The phase where the device analyzes the input content in real time

[0530] The device monitors the input text in real time, invokes a natural language processing (NLP) engine, and further analyzes emotions from the user's input text through an emotion engine.

[0531] Example: If a user types "today," the device analyzes "today" as a key phrase, and the emotion engine analyzes that the user's emotion is positive.

[0532] 3. Requesting the analysis results from the server

[0533] The device sends a request to the server based on the analysis results, which includes key phrases, context information, and user emotion information.

[0534] Example: A device sends a request to a server containing the key phrase "Today" and a positive sentiment.

[0535] 4. Server-generated suggestions

[0536] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty words, and also selects the best suggestions based on emotional information and adapts the content.

[0537] Example: The server searches for positive puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[0538] 5. The phase where suggestions are sent from the server to the device

[0539] The server returns the generated suggestions to the terminal.

[0540] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[0541] 6. The device displays suggestions to the user

[0542] The device displays the received suggestions in the text input interface.

[0543] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[0544] Specific examples

[0545] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today," and the emotion engine analyzes that the user's emotion indicates stress. The server generates an appropriate humorous suggestion and sends it back to the device. If the device displays "My work is piling up, but looking at the mountains makes me feel lighter!", the user can easily select the suggestion, enabling humorous communication.

[0546] This system allows users to incorporate humor into their input in real time, improving the quality of communication, reducing social media fatigue, and promoting meta-thinking. In addition, the introduction of an emotion engine will further enhance the effect by providing suggestions that match the user's emotions.

[0547] The processing flow will be explained below.

[0548] Step 1:

[0549] The user begins to enter characters into the text input interface, which causes keyboard events to be generated and the terminal monitors the contents of the input field in real time.

[0550] Step 2:

[0551] The device takes the input string and calls a natural language processing (NLP) engine, which analyzes the string to identify key phrases and context.

[0552] Step 3:

[0553] Based on the analyzed key phrases and context, the device calls the emotion engine, which analyzes the emotion (e.g., positive, negative, neutral) from the user's input text.

[0554] Step 4:

[0555] Based on the analysis results, the device creates a request to generate humorous or witty phrases. This request includes key phrases, contextual information, and user emotional information.

[0556] Step 5:

[0557] The terminal transmits a request to the remote server via a communication means, and the remote server receives the request.

[0558] Step 6:

[0559] The server analyzes the incoming request and searches a database for relevant humorous or witty phrases. The server's algorithm then selects the best suggestions, taking into account the emotional information.

[0560] Step 7:

[0561] The server sends the generated suggestions back to the device as a response. The response from the server arrives at the device.

[0562] Step 8:

[0563] The device receives the response from the server, analyzes the suggestion content, and prepares to display the analyzed suggestions.

[0564] Step 9:

[0565] The terminal displays the suggestions in the user's text input interface, and the suggestions are visually presented to the user through the display means.

[0566] Step 10:

[0567] The user checks the suggestions presented and clicks on them as necessary. When the user clicks on a suggestion, the content is reflected in the text field and the input is confirmed.

[0568] Step 11:

[0569] If the user continues to enter more text, the process repeats from step 1 to step 10. Each time the user input changes, new keyphrase and sentiment analysis is performed and new suggestions are generated.

[0570] Example 2

[0571] 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."

[0572] Conventional text input assistance systems lack the ability to suggest appropriate humorous or witty words in real time as the user types, which prevents them from improving the quality of communication. Furthermore, suggestions may be inappropriate because they do not take the user's emotions into account. Therefore, there is a need for a system that can provide appropriate suggestions in real time based on the user's emotions.

[0573] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for a user to input text, an analysis means for analyzing the text input by the user in real time to identify key phrases and context, a communication means for sending a request to a remote computer to generate humorous or witty words based on the analysis results, a display means for displaying the humorous or witty words received from the remote computer on the user's interface, an emotion analysis means for analyzing emotions from the user's input text, and an integration means for integrating the analysis results of the emotion analysis means into the analysis means. This makes it possible to provide appropriate suggestions according to the user's emotions in real time.

[0574] "Input means" refers to an interface for a user to input text, and includes, for example, a keyboard, a touch screen, a voice input device, and the like.

[0575] The "analysis means" is an element that has the function of analyzing the text entered by the user in real time and identifying key phrases and context.

[0576] The "communication means" is an element having a function of transmitting a request from the terminal to a remote computer to generate humorous or witty words based on the analysis results.

[0577] The "display means" is an element having the function of displaying humorous or witty words received from a remote computer on the user's interface.

[0578] The "emotion analysis means" is an element that has the function of analyzing emotions from the user's input text. The emotion engine is used to identify the user's emotions.

[0579] The "integration means" is an element having a function of integrating the emotion information analyzed by the emotion analysis means into the analysis means and processing it in an integrated manner as an analysis result.

[0580] "Remote computer" refers to a server or cloud-based system that receives communications from a device, analyzes the results, generates humorous or witty remarks, and sends them back to the device.

[0581] To implement this invention, the following system configuration and processing are required: This system provides a function to suggest humorous and witty words when a user inputs text, and recognizes the user's emotions to generate appropriate suggestions.

[0582] System Configuration

[0583] The system mainly consists of the following components:

[0584] 1. Input Method

[0585] An interface through which a user inputs text. Examples include keyboards, touchscreens, and voice input devices.

[0586] 2. Analysis method

[0587] It uses a natural language processing (NLP) engine to analyze user-entered text in real time and identify key phrases and context.

[0588] 3. Means of communication

[0589] It has the ability to send requests to a remote computer to generate humorous or witty remarks based on the analysis results. The means of communication include transmitting data over the Internet.

[0590] 4. Display means

[0591] It has the ability to display humorous and witty phrases received from a remote computer in the user's interface, allowing the user to see the suggestions in real time.

[0592] 5. Emotion analysis method

[0593] It has the ability to analyze emotions from user input text. A sentiment analysis engine is used to identify emotions such as positive and negative.

[0594] 6. Integration Methods

[0595] It has a function to integrate the results of the emotion analysis means into the analysis means and process them in an integrated manner as the final analysis result.

[0596] Processing flow and specific examples

[0597] The specific process flow of this system and an example are shown below:

[0598] 1. Text Input

[0599] The user types, "I have a lot of work to do today."

[0600] 2. Real-time analysis

[0601] The device analyzes this input in real time and identifies the key phrase "today."

[0602] The emotion analysis engine analyzes the user's emotions and determines that the user is feeling stressed.

[0603] 3. Sending a request

[0604] The device sends a request containing the analysis results (the key phrase "today" and the emotional information "stress") to the remote computer.

[0605] 4. Suggestion Generation

[0606] Based on the request, the remote computer uses a database and algorithms to generate a suggestion such as, "You have a lot of work to do, but looking at the mountains makes you feel lighter!"

[0607] 5. Displaying suggestions

[0608] The remote computer sends suggestions to the terminal, which then displays them on the user's interface.

[0609] Examples and prompts

[0610] For example, if a user starts typing "I have a lot of work to do today" in the morning, the device will identify the key phrase "today," and the sentiment analysis engine will determine that the user is feeling stressed. The remote computer will generate appropriate humor and suggest, "My work is piling up, but looking at the mountains makes me feel better!" The device will then display this suggestion to the user, allowing the user to communicate with humor.

[0611] Example prompt sentence:

[0612] When you type "I have a lot of work to do today," the suggestion is: "My work is piling up, but looking at the mountains makes me feel lighter!"

[0613] In this way, the present invention improves the quality of communication by analyzing the user's input and emotions in real time and providing appropriate suggestions.

[0614] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0615] Step 1:

[0616] The user inputs text. The user inputs "I have a lot of work to do today" into the text input field of the terminal. This input data is sent to the terminal as text.

[0617] Step 2:

[0618] The device analyzes the input content in real time. The device receives the input text and calls a natural language processing (NLP) engine. The NLP engine analyzes the text "I have a lot of work to do today" and extracts the key phrase "today" and contextual information. The extracted information is generated as intermediate data.

[0619] Step 3:

[0620] The emotion analysis means analyzes the user's emotions in real time. The device uses an emotion engine to analyze the user's emotions from the text "I have a lot of work to do today." The emotion engine identifies that the user is feeling "stressed." The results of the emotion analysis are generated as intermediate data along with the emotion information.

[0621] Step 4:

[0622] The analyzed key phrases and emotional information are integrated. The device integrates the intermediate data from the analysis means and the emotional analysis means, and generates the final analysis result, "Key phrase: Today, Emotion: Stress." This integrated data becomes the input data for the request to the server.

[0623] Step 5:

[0624] The device sends a request to the server. The device then sends the integrated analysis results to the remote computer (server). The request includes the data "key phrase: today, emotion: stress." This is delivered to the server as a request.

[0625] Step 6:

[0626] The server generates suggestions. The server analyzes the request data received from the device, "Key phrase: Today, Emotion: Stress," and generates appropriate suggestions using a database and algorithms. The server generates humorous suggestions such as "My work is piling up, but looking at the mountains makes me feel lighter!" This is the server's output data.

[0627] Step 7:

[0628] The server sends the generated suggestion to the device. The server returns the generated suggestion, "My work is piling up, but looking at the mountains makes me feel lighter!" to the device. This suggestion becomes the response to the device.

[0629] Step 8:

[0630] The device displays the received suggestions to the user. The device displays the received suggestions in the interface. Specifically, the suggestion "I have a lot of work to do, but looking at the mountains makes me feel lighter!" is displayed below the text input field. The user can check this suggestion and click it to add it to the text if necessary.

[0631] (Application example 2)

[0632] 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."

[0633] When users input text, especially in situations such as product reviews, there is a need to improve the quality of communication by incorporating humorous and witty expressions that reflect emotions and context. However, conventional text input systems lack the ability to analyze users' emotions and suggest humorous comments accordingly, making it difficult to generate appropriate comments at the right time. There is also a need for a system that allows users to enjoy and feel satisfied in the review writing process.

[0634] 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.

[0635] In this invention, the server includes means for suggesting optimal humorous or witty words based on the analyzed emotional information, means for analyzing the user's emotional state by combining the emotion analysis means, and means for displaying the humorous or witty words received from the remote server on the user's interface. This allows the user to receive humorous or witty suggestions in real time that correspond to their emotions when writing a product review, thereby improving satisfaction in the review writing process and the quality of communication.

[0636] A "user" is a person who operates a system or application.

[0637] "Text input" refers to the act of a user inputting text information.

[0638] "Interface means" refers to a screen or tool that allows a user to input text information into a system or application.

[0639] "Analysis means" refers to technology that monitors input text in real time and identifies key phrases and context.

[0640] "Emotion analysis means" is a technique for identifying the user's emotional state from input text.

[0641] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[0642] The "remote server" is a server located at a remote location via a network, and is a server for analyzing data and generating suggestions.

[0643] The "display means" refers to a technique for visually displaying humorous or witty remarks received from the remote server to the user.

[0644] "Humorous or witty language" is an expression or comment that provokes laughter or wit, depending on the context in which it is used.

[0645] "Emotion information" is the emotional state at that time analyzed from the text entered by the user.

[0646] The present invention is a system that suggests humorous and witty words when a user inputs text, and further combines it with an emotion engine that analyzes the user's emotions. This system integrates a text input interface means, a text and emotion analysis means, a communication means with a server, and a suggestion display means.

[0647] System configuration

[0648] 1. Text Input Interface Means

[0649] Screens and tools for users to input text include text input fields in smartphone applications.

[0650] 2. Text and Sentiment Analysis Methods

[0651] We use natural language processing technology (e.g., spaCy) to analyze user-entered text in real time, identifying key phrases and context from the text, and then use sentiment analysis tools (e.g., IBM Watson Tone Analyzer) to analyze emotional information.

[0652] 3. Communication method to the server

[0653] WebSocket technology is used to send the input text and analysis results to a remote server, allowing for real-time data communication.

[0654] 4. Suggestion display method

[0655] This technology allows users to receive humorous or witty suggestions from a remote server and display them in a text input field. The suggestions are displayed on the smartphone interface.

[0656] Software and Hardware Usage

[0657] NLP engine: Uses spaCy or NLTK to analyze text and identify key phrases.

[0658] Sentiment Engine: Uses IBM Watson Tone Analyzer to analyze the sentiment of text entered by the user.

[0659] Server: Uses AWS Lambda to analyze data and generate suggestions.

[0660] Real-time communication: Analysis results are quickly sent and received between the server and the client using WebSocket.

[0661] Device: Uses a smartphone and offers applications that run on iOS and Android platforms.

[0662] Specific usage scenarios

[0663] For example, suppose a user types "This product is..." into a review on an online shopping site. The NLP engine analyzes this text, identifying key phrases, and the sentiment engine analyzes positive sentiment. The analysis results are sent to a server, which searches a database to generate the most appropriate humorous or witty comment. This comment is sent to the user's smartphone in real time, and a suggestion such as "This product is great! It's as useful as a magic wand!" is displayed in the user's input field.

[0664] Prompt Sentence Examples

[0665] "When a user types 'this product' in a product review, generate a humorous or witty comment. Assume the user's sentiment is positive."

[0666] In this way, the system of the present invention can provide a more enjoyable review writing experience by providing humorous and witty comments that are adapted to the user's emotions and the text content.

[0667] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0668] Step 1:

[0669] A user inputs "This product is" into a text input field of a smartphone. The input is acquired in real time via a text input interface means. The input data is "This product is."

[0670] Step 2:

[0671] The terminal sends the input text to an NLP engine (e.g., spaCy) to identify key phrases and context. The input data is "This product is", and the NLP engine analyzes it to extract the key phrase "This product is". The analyzed data "Key phrase: This product is".

[0672] Step 3:

[0673] The terminal sends the analyzed data to an emotion engine (e.g., IBM Watson Tone Analyzer) to analyze the emotional state of the input text. The input data is an emotion analysis request for "This product", and the emotion engine analyzes it and determines the emotional information as "positive". The analyzed emotion data "Emotion: Positive" is obtained.

[0674] Step 4:

[0675] The terminal sends the analyzed emotion data and key phrase data to the server. The input data is "key phrase: this product, emotion: positive", and the server receives the request based on this. The received data "key phrase: this product, emotion: positive" is stored.

[0676] Step 5:

[0677] The server searches the database based on the analyzed data and sentiment data to generate relevant humorous and witty phrases. The input data is "key phrase: this product, sentiment: positive", and the server searches the database to generate suggestions. The generated suggestion data is "This product is great! It's as convenient as a magic wand!"

[0678] Step 6:

[0679] The server returns the generated suggestion data to the device. The input data is "This product is great! It's as convenient as a magic wand!", and the device receives it. The received data is saved as "This product is great! It's as convenient as a magic wand!".

[0680] Step 7:

[0681] The device receives a humorous or witty phrase and displays it in the text input field. The input data is "This product is great! It's as convenient as a magic wand!" and is displayed in the user interface. The display data is "This product is great! It's as convenient as a magic wand!".

[0682] This allows appropriate humorous and witty comments to be displayed in real time in response to the text entered by the user, making the system easy to use.

[0683] 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.

[0684] 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.

[0685] 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.

[0686] [Third embodiment]

[0687] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0688] 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.

[0689] 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).

[0690] 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.

[0691] 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.

[0692] 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).

[0693] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for 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.

[0694] 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.

[0695] 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.

[0696] 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.

[0697] 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.

[0698] 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."

[0699] The present invention is a system that suggests humorous and witty words when a user inputs text. This system integrates a text input interface, text analysis, communication between a server and a terminal, and a suggestion display function.

[0700] System Overview

[0701] The system consists of the following main components:

[0702] 1. Text Input Interface Means

[0703] 2. Text Analysis Methods

[0704] 3. Communication method to the server

[0705] 4. Suggestion display method

[0706] Program processing

[0707] 1. The phase where the user inputs characters

[0708] The user enters characters into a text input field in an application on the device or in a social networking site.

[0709] Example: A user types "Today."

[0710] 2. The phase where the device analyzes the input content in real time

[0711] The device monitors the text being entered in real time and uses natural language processing techniques to identify key phrases and context in the user's input.

[0712] Example: If a user types "today," the device will parse "today" as a key phrase.

[0713] 3. Requesting the analysis results from the server

[0714] The device sends a request to the server based on the analysis results, which includes key phrases and contextual information.

[0715] Example: A device sends a request to a server containing the key phrase "Today."

[0716] 4. Server-generated suggestions

[0717] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty phrases.

[0718] Example: The server searches for puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[0719] 5. The phase where suggestions are sent from the server to the device

[0720] The server returns the generated suggestions to the terminal.

[0721] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[0722] 6. The device displays suggestions to the user

[0723] The device displays the received suggestions in the text input interface.

[0724] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[0725] Specific examples

[0726] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today" and sends it to the server. The server generates an appropriate pun and sends it back to the device. If the device displays "It's sunny today, and so are the documents! It's a refreshing day," the user can easily select the suggestion, enabling humorous communication.

[0727] This system allows users to incorporate humor in real time while they are typing, which is expected to improve the quality of communication, reduce social media fatigue, and promote meta-thinking.

[0728] The processing flow will be explained below.

[0729] Step 1:

[0730] The user starts to input characters into the text input interface, and the terminal captures the characters in real time with each keystroke in the input field.

[0731] Step 2:

[0732] The device calls a natural language processing (NLP) engine to analyze the input string in real time. Specifically, the NLP engine extracts key phrases and context from the input text.

[0733] Step 3:

[0734] The device uses the extracted key phrases and contextual information to create a suggestion request, which includes the results of analyzing the text entered by the user.

[0735] Step 4:

[0736] The terminal sends a request for generating suggestions to a remote server. The communication means establishes an Internet connection and sends the request to the server.

[0737] Step 5:

[0738] The server receives the request and searches its database for humor, puns, comic stories, and historical events based on key phrases and contextual information. The server's algorithm selects the best suggestions.

[0739] Step 6:

[0740] The server sends the generated suggestions to the device as a response to the request, and the server returns a response.

[0741] Step 7:

[0742] The device receives the response from the server, analyzes the received suggestions, and prepares them for display.

[0743] Step 8:

[0744] The terminal displays the suggestions in the user's text input interface, and the display means visually presents the suggestions to the user.

[0745] Step 9:

[0746] The user checks the suggestions presented and selects one if necessary. When the user clicks on a suggestion, the content is reflected in the text field.

[0747] Step 10:

[0748] If the user continues to enter more text, the process repeats from step 1. The device again parses the new keyphrase and sends a request to the server.

[0749] Example 1

[0750] 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."

[0751] The challenge is that when users input text, their communication tends to be monotonous and stiff. Also, when users want to instantly use humorous or witty words, it often takes time to come up with the right expression. This reduces the quality of communication, leading to social networking fatigue and communication disruptions.

[0752] 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.

[0753] In this invention, the server includes an interface means for a user to input text, an analysis means for the terminal to analyze the text input by the user in real time to identify key phrases and context, a communication means for the terminal to send a request to a remote server to generate humorous or witty words based on the analysis results, and a means for the remote server to input a prompt sentence into a generation AI model to generate suggestions and display the humorous or witty words received from the remote server on the user's interface. This allows users to easily obtain humorous or witty suggestions in real time, improving the quality of communication and reducing SNS fatigue.

[0754] "Interface means" refers to a user interface for a user to input text.

[0755] "Analysis means" refers to a device or system that analyzes text entered by a user in real time to identify key phrases and context.

[0756] "Communication means" refers to a device or system for transmitting the analysis results of the analysis means to a remote server.

[0757] A "remote server" refers to a server that is connected to a terminal via a network and plays a role in generating humorous and witty suggestions based on the analysis results.

[0758] A "generative AI model" refers to an artificial intelligence model that generates humorous and witty suggestions based on an input prompt.

[0759] A "prompt sentence" refers to an input sentence that causes a generative AI model to generate a suggestion.

[0760] "Suggestions" refer to humorous or witty suggestions or phrases generated by a remote server using a generative AI model.

[0761] "Display means" refers to a device or system that displays suggestions received from a remote server on a user's interface.

[0762] "Key phrases" refer to words or phrases that have significant meaning in the text entered by the user.

[0763] "Contextual information" refers to surrounding information that can help a user better understand the meaning and intent of the text they enter.

[0764] The present invention is a system that suggests humorous and witty words when a user inputs text. This system is realized by integrating a text input interface, real-time analysis, communication between a server and a terminal, and a suggestion display function.

[0765] First, a user enters text into a text input field on a device such as a smartphone or computer. For example, a user might enter "Today" on a social networking site or messaging app. As the user types text, the device monitors it in real time.

[0766] Next, the device analyzes the input text using natural language processing technology. Examples of natural language processing (NLP) used include Google NLP and Hugging Face's BERT model. The device identifies key phrases and context from the input string and generates analysis results based on that. Here, the key phrase "Today" is extracted.

[0767] The device then sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The request is sent using the HTTPS protocol, ensuring fast and secure communication. For example, a request containing the key phrase "Today" is sent to the server.

[0768] Next, the server generates suggestions by inputting a prompt sentence into a generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The server generates a prompt sentence, for example, in the format "Please generate a humorous or witty suggestion based on the following key phrase. Key phrase: 'I have a lot of work to do today.'"

[0769] The server analyzes the suggestions obtained from the model and sends them to the device. For example, a suggestion such as "Today is a sunny day that makes you feel happy and laugh!" is generated and sent from the server to the device.

[0770] Finally, the terminal displays the suggestions received from the server on the user's interface, allowing the user to easily select and add the suggestion to the input. For example, the suggestion "Today is a sunny, laughter-filled day!" is displayed in the text input field.

[0771] This system will enable users to easily incorporate humorous and witty words in real time, which is expected to improve the quality of communication and reduce social media fatigue.

[0772] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0773] Program processing flow (processing steps)

[0774] Step 1:

[0775] A user enters text into a text input field on a device. For example, they enter "Today" in a social networking site or messaging app. This input data becomes the input for the next processing step.

[0776] Step 2:

[0777] The device monitors the text entered by the user in real time and analyzes it using natural language processing technology. Examples of technologies used include Google NLP and Hugging Face's BERT model. Specifically, the device analyzes the input string "Today" and extracts key phrases and contextual information. The output is the key phrase "Today" and its contextual information.

[0778] Step 3:

[0779] The terminal sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The HTTPS protocol is used for transmission. Specifically, the terminal generates request data including the key phrase "Today" and sends it to the server. The output is the request data sent to the server.

[0780] Step 4:

[0781] The server inputs a prompt sentence into the generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The prompt sentence is "Generate humorous and witty suggestions based on the following key phrase. Key phrase: 'I have a lot of work to do today.'" Specifically, the server inputs the prompt sentence into the generative AI model to generate suggestions. The output is the generated suggestion data.

[0782] Step 5:

[0783] The server returns the generated suggestion to the terminal. Specifically, the server generates suggestion data such as "Today is a sunny day, and it makes you feel like laughing!" and sends it to the terminal. The output is the suggestion data sent to the terminal.

[0784] Step 6:

[0785] The terminal displays the suggestions received from the server on the user's interface. Specifically, the terminal displays the received suggestion data, "Today is a sunny day, and laughter is bright!" below the text input field. The output is the suggestion displayed on the user interface.

[0786] (Application example 1)

[0787] 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."

[0788] Traditional advertising creation requires a lot of time and effort for creators to come up with humorous and witty expressions. It's also difficult to instantly incorporate humor from diverse perspectives, which can result in a reduced advertising effectiveness. Furthermore, the manual process often leads to users losing their unique humor, making it difficult to generate expressions that maintain freshness and creativity.

[0789] 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.

[0790] In this invention, the server includes an interface means for a user to input characters, an analysis means for analyzing the characters input by the user in real time to identify key phrases and contexts, a communication means for sending a request to a remote server to generate humorous or witty expressions based on the analysis results, a display means for displaying the humorous or witty expressions received from the remote server on the user's interface, and a prompt sentence generation means for supporting advertisement creation. This enables creators to quickly and efficiently generate humorous or witty advertising phrases, thereby improving the effectiveness of advertisements.

[0791] The "interface means" refers to an input device or software system that allows a user to input characters.

[0792] "Analysis means" refers to technology that analyzes the characters entered by the user in real time and identifies key phrases and context.

[0793] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[0794] The "display means" is a technology for displaying humorous or witty expressions received from the remote server on the user's interface.

[0795] The "prompt sentence generation means" is a technology that suggests appropriate humorous and witty expressions to support advertising creation.

[0796] "Natural language processing technology" is a computer science technique for analyzing the meaning of characters entered by a user.

[0797] The "remote server" is a server system located at a remote location that receives the analysis results and searches for and generates relevant humorous or witty expressions.

[0798] "Humorous and witty expressions" are expressions that provide fun and witty responses to user input.

[0799] "Advertising creation" is the process of creating advertising content that attracts viewers' attention for promotional and marketing purposes.

[0800] The present invention relates to a system for enabling users to generate humorous and witty expressions in advertising creation. The system includes, as its main components, an interface means, an analysis means, a communication means, a display means, and a prompt sentence generation means.

[0801] System Overview

[0802] Interface Means

[0803] An input device or software system that allows users to input characters. Examples include keyboards on smartphones and PCs, and touchscreens on tablets.

[0804] analytical means

[0805] This technology analyzes user-entered characters in real time to identify key phrases and context. It uses Python and the Transformers library (particularly the GPT-3 model) to analyze the input text.

[0806] communication means

[0807] This is a technology that sends requests to a remote server based on the analysis results. An example of this is an API request using the HTTP protocol.

[0808] Display means

[0809] This technology allows humorous and witty expressions received from a remote server to be displayed on the user's interface, such as on a smartphone or PC screen.

[0810] Prompt generation method

[0811] This technology suggests appropriate humorous and witty expressions to support ad creation. It is generated using a generative AI model (e.g., GPT-3).

[0812] Example

[0813] Specific examples are shown below.

[0814] A user uses a smartphone to input "New products are...". This input is acquired through an interface means, and the key phrase "New products" is extracted in real time by an analysis means. The analysis results are sent to a remote server via a communication means. The remote server searches for and generates related humorous or witty expressions based on the received key phrase.

[0815] For example, the remote server generates a humorous expression such as "The new product will shine even brighter tomorrow!" and sends it back to the user's terminal via the communication means. This suggestion is displayed on the user's interface by the display means, so the user can easily select it and incorporate it into their advertisement.

[0816] Example prompt sentence:

[0817] "New products are"

[0818] This system allows ad creators to quickly generate humorous and witty ad phrases while significantly reducing the time and effort required, thereby improving the effectiveness of ads and capturing the attention of viewers.

[0819] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0820] Step 1:

[0821] The user inputs characters using the user interface means. This allows the user to input text using the keyboard of a smartphone or computer. The input character string is acquired by the interface means. For example, the user inputs "The new product is..."

[0822] Input: The string entered by the user (e.g., "The new product is...")

[0823] Output: String obtained by interface means

[0824] Step 2:

[0825] The device uses analytics to analyze the captured text in real time. Specifically, it uses Python and the Transformers library (e.g., the GPT-3 model) to analyze the text. This analysis identifies key phrases and context.

[0826] Input: A string obtained through an interface (e.g., "The new product is...")

[0827] Output: Analyzed key phrases and context (e.g. "new product")

[0828] Step 3:

[0829] The device uses the communication method to send a request to a remote server based on the analyzed key phrases and context. The request is sent in JSON format using the HTTP protocol.

[0830] Input: Parsed key phrase and context (e.g. "new product")

[0831] Output: Request sent to remote server

[0832] Step 4:

[0833] Based on the received request, a remote server generates relevant humorous or witty expressions. The server uses a database or a generative AI model (e.g., GPT-3) to search for and generate the most appropriate expressions.

[0834] Input: The request sent to the remote server (e.g., the "new product" key phrase)

[0835] Output: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[0836] Step 5:

[0837] The remote server returns the generated representation to the terminal, which is transmitted to the terminal via a communication means.

[0838] Input: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[0839] Output: The generated representation sent back to the terminal

[0840] Step 6:

[0841] The terminal displays the received expressions on the user interface means, and the user can check the displayed humorous and witty expressions and incorporate them into his or her own advertisement creations as needed.

[0842] Input: The generated expression sent back to the device (e.g., "The new product will be even more brilliant tomorrow!")

[0843] Output: Humorous or witty remarks displayed

[0844] This explains the specific actions and data flow at each step, making it clear what happens from the characters entered by the user to the final display of the representation generated by the remote server.

[0845] 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.

[0846] The present invention is a system that suggests humorous and witty words as the user types text, and also combines an emotion engine that recognizes the user's emotions. This system integrates a text input interface, text and emotion analysis, communication between the server and the terminal, and suggestion display functions.

[0847] System Overview

[0848] The system consists of the following main components:

[0849] 1. Text Input Interface Means

[0850] 2. Text and Sentiment Analysis Methods

[0851] 3. Communication method to the server

[0852] 4. Suggestion display method

[0853] 5. Emotion Engine

[0854] Program processing

[0855] 1. The phase where the user inputs characters

[0856] The user enters characters into a text input field in an application on the device or in a social networking site.

[0857] Example: A user types "Today."

[0858] 2. The phase where the device analyzes the input content in real time

[0859] The device monitors the input text in real time, invokes a natural language processing (NLP) engine, and further analyzes emotions from the user's input text through an emotion engine.

[0860] Example: If a user types "today," the device analyzes "today" as a key phrase, and the emotion engine analyzes that the user's emotion is positive.

[0861] 3. Requesting the analysis results from the server

[0862] The device sends a request to the server based on the analysis results, which includes key phrases, context information, and user emotion information.

[0863] Example: A device sends a request to a server containing the key phrase "Today" and a positive sentiment.

[0864] 4. Server-generated suggestions

[0865] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty words, and also selects the best suggestions based on emotional information and adapts the content.

[0866] Example: The server searches for positive puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[0867] 5. The phase where suggestions are sent from the server to the device

[0868] The server returns the generated suggestions to the terminal.

[0869] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[0870] 6. The device displays suggestions to the user

[0871] The device displays the received suggestions in the text input interface.

[0872] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[0873] Specific examples

[0874] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today," and the emotion engine analyzes that the user's emotion indicates stress. The server generates an appropriate humorous suggestion and sends it back to the device. If the device displays "My work is piling up, but looking at the mountains makes me feel lighter!", the user can easily select the suggestion, enabling humorous communication.

[0875] This system allows users to incorporate humor into their input in real time, improving the quality of communication, reducing social media fatigue, and promoting meta-thinking. In addition, the introduction of an emotion engine will further enhance the effect by providing suggestions that match the user's emotions.

[0876] The processing flow will be explained below.

[0877] Step 1:

[0878] The user begins to enter characters into the text input interface, which causes keyboard events to be generated and the terminal monitors the contents of the input field in real time.

[0879] Step 2:

[0880] The device takes the input string and calls a natural language processing (NLP) engine, which analyzes the string to identify key phrases and context.

[0881] Step 3:

[0882] Based on the analyzed key phrases and context, the device calls the emotion engine, which analyzes the emotion (e.g., positive, negative, neutral) from the user's input text.

[0883] Step 4:

[0884] Based on the analysis results, the device creates a request to generate humorous or witty phrases. This request includes key phrases, contextual information, and user emotional information.

[0885] Step 5:

[0886] The terminal transmits a request to the remote server via a communication means, and the remote server receives the request.

[0887] Step 6:

[0888] The server analyzes the incoming request and searches a database for relevant humorous or witty phrases. The server's algorithm then selects the best suggestions, taking into account the emotional information.

[0889] Step 7:

[0890] The server sends the generated suggestions back to the device as a response. The response from the server arrives at the device.

[0891] Step 8:

[0892] The device receives the response from the server, analyzes the suggestion content, and prepares to display the analyzed suggestions.

[0893] Step 9:

[0894] The terminal displays the suggestions in the user's text input interface, and the suggestions are visually presented to the user through the display means.

[0895] Step 10:

[0896] The user checks the suggestions presented and clicks on them as necessary. When the user clicks on a suggestion, the content is reflected in the text field and the input is confirmed.

[0897] Step 11:

[0898] If the user continues to enter more text, the process repeats from step 1 to step 10. Each time the user input changes, new keyphrase and sentiment analysis is performed and new suggestions are generated.

[0899] Example 2

[0900] 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."

[0901] Conventional text input assistance systems lack the ability to suggest appropriate humorous or witty words in real time as the user types, which prevents them from improving the quality of communication. Furthermore, suggestions may be inappropriate because they do not take the user's emotions into account. Therefore, there is a need for a system that can provide appropriate suggestions in real time based on the user's emotions.

[0902] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for a user to input text, an analysis means for analyzing the text input by the user in real time to identify key phrases and context, a communication means for sending a request to a remote computer to generate humorous or witty words based on the analysis results, a display means for displaying the humorous or witty words received from the remote computer on the user's interface, an emotion analysis means for analyzing emotions from the user's input text, and an integration means for integrating the analysis results of the emotion analysis means into the analysis means. This makes it possible to provide appropriate suggestions according to the user's emotions in real time.

[0903] "Input means" refers to an interface for a user to input text, and includes, for example, a keyboard, a touch screen, a voice input device, and the like.

[0904] The "analysis means" is an element that has the function of analyzing the text entered by the user in real time and identifying key phrases and context.

[0905] The "communication means" is an element having a function of transmitting a request from the terminal to a remote computer to generate humorous or witty words based on the analysis results.

[0906] The "display means" is an element having the function of displaying humorous or witty words received from a remote computer on the user's interface.

[0907] The "emotion analysis means" is an element that has the function of analyzing emotions from the user's input text. The emotion engine is used to identify the user's emotions.

[0908] The "integration means" is an element having a function of integrating the emotion information analyzed by the emotion analysis means into the analysis means and processing it in an integrated manner as an analysis result.

[0909] "Remote computer" refers to a server or cloud-based system that receives communications from a device, analyzes the results, generates humorous or witty remarks, and sends them back to the device.

[0910] To implement this invention, the following system configuration and processing are required: This system provides a function to suggest humorous and witty words when a user inputs text, and recognizes the user's emotions to generate appropriate suggestions.

[0911] System Configuration

[0912] The system mainly consists of the following components:

[0913] 1. Input Method

[0914] An interface through which a user inputs text. Examples include keyboards, touchscreens, and voice input devices.

[0915] 2. Analysis method

[0916] It uses a natural language processing (NLP) engine to analyze user-entered text in real time and identify key phrases and context.

[0917] 3. Means of communication

[0918] It has the ability to send requests to a remote computer to generate humorous or witty remarks based on the analysis results. The means of communication include transmitting data over the Internet.

[0919] 4. Display means

[0920] It has the ability to display humorous and witty phrases received from a remote computer in the user's interface, allowing the user to see the suggestions in real time.

[0921] 5. Emotion analysis method

[0922] It has the ability to analyze emotions from user input text. A sentiment analysis engine is used to identify emotions such as positive and negative.

[0923] 6. Integration Methods

[0924] It has a function to integrate the results of the emotion analysis means into the analysis means and process them in an integrated manner as the final analysis result.

[0925] Processing flow and specific examples

[0926] The specific process flow of this system and an example are shown below:

[0927] 1. Text Input

[0928] The user types, "I have a lot of work to do today."

[0929] 2. Real-time analysis

[0930] The device analyzes this input in real time and identifies the key phrase "today."

[0931] The emotion analysis engine analyzes the user's emotions and determines that the user is feeling stressed.

[0932] 3. Sending a request

[0933] The device sends a request containing the analysis results (the key phrase "today" and the emotional information "stress") to the remote computer.

[0934] 4. Suggestion Generation

[0935] Based on the request, the remote computer uses a database and algorithms to generate a suggestion such as, "You have a lot of work to do, but looking at the mountains makes you feel lighter!"

[0936] 5. Displaying suggestions

[0937] The remote computer sends suggestions to the terminal, which then displays them on the user's interface.

[0938] Examples and prompts

[0939] For example, if a user starts typing "I have a lot of work to do today" in the morning, the device will identify the key phrase "today," and the sentiment analysis engine will determine that the user is feeling stressed. The remote computer will generate appropriate humor and suggest, "My work is piling up, but looking at the mountains makes me feel better!" The device will then display this suggestion to the user, allowing the user to communicate with humor.

[0940] Example prompt sentence:

[0941] When you type "I have a lot of work to do today," the suggestion is: "My work is piling up, but looking at the mountains makes me feel lighter!"

[0942] In this way, the present invention improves the quality of communication by analyzing the user's input and emotions in real time and providing appropriate suggestions.

[0943] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0944] Step 1:

[0945] The user inputs text. The user inputs "I have a lot of work to do today" into the text input field of the terminal. This input data is sent to the terminal as text.

[0946] Step 2:

[0947] The device analyzes the input content in real time. The device receives the input text and calls a natural language processing (NLP) engine. The NLP engine analyzes the text "I have a lot of work to do today" and extracts the key phrase "today" and contextual information. The extracted information is generated as intermediate data.

[0948] Step 3:

[0949] The emotion analysis means analyzes the user's emotions in real time. The device uses an emotion engine to analyze the user's emotions from the text "I have a lot of work to do today." The emotion engine identifies that the user is feeling "stressed." The results of the emotion analysis are generated as intermediate data along with the emotion information.

[0950] Step 4:

[0951] The analyzed key phrases and emotional information are integrated. The device integrates the intermediate data from the analysis means and the emotional analysis means, and generates the final analysis result, "Key phrase: Today, Emotion: Stress." This integrated data becomes the input data for the request to the server.

[0952] Step 5:

[0953] The device sends a request to the server. The device then sends the integrated analysis results to the remote computer (server). The request includes the data "key phrase: today, emotion: stress." This is delivered to the server as a request.

[0954] Step 6:

[0955] The server generates suggestions. The server analyzes the request data received from the device, "Key phrase: Today, Emotion: Stress," and generates appropriate suggestions using a database and algorithms. The server generates humorous suggestions such as "My work is piling up, but looking at the mountains makes me feel lighter!" This is the server's output data.

[0956] Step 7:

[0957] The server sends the generated suggestion to the device. The server returns the generated suggestion, "My work is piling up, but looking at the mountains makes me feel lighter!" to the device. This suggestion becomes the response to the device.

[0958] Step 8:

[0959] The device displays the received suggestions to the user. The device displays the received suggestions in the interface. Specifically, the suggestion "I have a lot of work to do, but looking at the mountains makes me feel lighter!" is displayed below the text input field. The user can check this suggestion and click it to add it to the text if necessary.

[0960] (Application example 2)

[0961] 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."

[0962] When users input text, especially in situations such as product reviews, there is a need to improve the quality of communication by incorporating humorous and witty expressions that reflect emotions and context. However, conventional text input systems lack the ability to analyze users' emotions and suggest humorous comments accordingly, making it difficult to generate appropriate comments at the right time. There is also a need for a system that allows users to enjoy and feel satisfied in the review writing process.

[0963] 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.

[0964] In this invention, the server includes means for suggesting optimal humorous or witty words based on the analyzed emotional information, means for analyzing the user's emotional state by combining the emotion analysis means, and means for displaying the humorous or witty words received from the remote server on the user's interface. This allows the user to receive humorous or witty suggestions in real time that correspond to their emotions when writing a product review, thereby improving satisfaction in the review writing process and the quality of communication.

[0965] A "user" is a person who operates a system or application.

[0966] "Text input" refers to the act of a user inputting text information.

[0967] "Interface means" refers to a screen or tool that allows a user to input text information into a system or application.

[0968] "Analysis means" refers to technology that monitors input text in real time and identifies key phrases and context.

[0969] "Emotion analysis means" is a technique for identifying the user's emotional state from input text.

[0970] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[0971] The "remote server" is a server located at a remote location via a network, and is a server for analyzing data and generating suggestions.

[0972] The "display means" refers to a technique for visually displaying humorous or witty remarks received from the remote server to the user.

[0973] "Humorous or witty language" is an expression or comment that provokes laughter or wit, depending on the context in which it is used.

[0974] "Emotion information" is the emotional state at that time analyzed from the text entered by the user.

[0975] The present invention is a system that suggests humorous and witty words when a user inputs text, and further combines it with an emotion engine that analyzes the user's emotions. This system integrates a text input interface means, a text and emotion analysis means, a communication means with a server, and a suggestion display means.

[0976] System configuration

[0977] 1. Text Input Interface Means

[0978] Screens and tools for users to input text include text input fields in smartphone applications.

[0979] 2. Text and Sentiment Analysis Methods

[0980] We use natural language processing technology (e.g., spaCy) to analyze user-entered text in real time, identifying key phrases and context from the text, and then use sentiment analysis tools (e.g., IBM Watson Tone Analyzer) to analyze emotional information.

[0981] 3. Communication method to the server

[0982] WebSocket technology is used to send the input text and analysis results to a remote server, allowing for real-time data communication.

[0983] 4. Suggestion display method

[0984] This technology allows users to receive humorous or witty suggestions from a remote server and display them in a text input field. The suggestions are displayed on the smartphone interface.

[0985] Software and Hardware Usage

[0986] NLP engine: Uses spaCy or NLTK to analyze text and identify key phrases.

[0987] Sentiment Engine: Uses IBM Watson Tone Analyzer to analyze the sentiment of text entered by the user.

[0988] Server: Uses AWS Lambda to analyze data and generate suggestions.

[0989] Real-time communication: Analysis results are quickly sent and received between the server and the client using WebSocket.

[0990] Device: Uses a smartphone and offers applications that run on iOS and Android platforms.

[0991] Specific usage scenarios

[0992] For example, suppose a user types "This product is..." into a review on an online shopping site. The NLP engine analyzes this text, identifying key phrases, and the sentiment engine analyzes positive sentiment. The analysis results are sent to a server, which searches a database to generate the most appropriate humorous or witty comment. This comment is sent to the user's smartphone in real time, and a suggestion such as "This product is great! It's as useful as a magic wand!" is displayed in the user's input field.

[0993] Prompt Sentence Examples

[0994] "When a user types 'this product' in a product review, generate a humorous or witty comment. Assume the user's sentiment is positive."

[0995] In this way, the system of the present invention can provide a more enjoyable review writing experience by providing humorous and witty comments that are adapted to the user's emotions and the text content.

[0996] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0997] Step 1:

[0998] A user inputs "This product is" into a text input field of a smartphone. The input is acquired in real time via a text input interface means. The input data is "This product is."

[0999] Step 2:

[1000] The terminal sends the input text to an NLP engine (e.g., spaCy) to identify key phrases and context. The input data is "This product is", and the NLP engine analyzes it to extract the key phrase "This product is". The analyzed data "Key phrase: This product is".

[1001] Step 3:

[1002] The terminal sends the analyzed data to an emotion engine (e.g., IBM Watson Tone Analyzer) to analyze the emotional state of the input text. The input data is an emotion analysis request for "This product", and the emotion engine analyzes it and determines the emotional information as "positive". The analyzed emotion data "Emotion: Positive" is obtained.

[1003] Step 4:

[1004] The terminal sends the analyzed emotion data and key phrase data to the server. The input data is "key phrase: this product, emotion: positive", and the server receives the request based on this. The received data "key phrase: this product, emotion: positive" is stored.

[1005] Step 5:

[1006] The server searches the database based on the analyzed data and sentiment data to generate relevant humorous and witty phrases. The input data is "key phrase: this product, sentiment: positive", and the server searches the database to generate suggestions. The generated suggestion data is "This product is great! It's as convenient as a magic wand!"

[1007] Step 6:

[1008] The server returns the generated suggestion data to the device. The input data is "This product is great! It's as convenient as a magic wand!", and the device receives it. The received data is saved as "This product is great! It's as convenient as a magic wand!".

[1009] Step 7:

[1010] The device receives a humorous or witty phrase and displays it in the text input field. The input data is "This product is great! It's as convenient as a magic wand!" and is displayed in the user interface. The display data is "This product is great! It's as convenient as a magic wand!".

[1011] This allows appropriate humorous and witty comments to be displayed in real time in response to the text entered by the user, making the system easy to use.

[1012] 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.

[1013] 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.

[1014] 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.

[1015] [Fourth embodiment]

[1016] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1017] 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.

[1018] 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).

[1019] 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.

[1020] 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.

[1021] 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).

[1022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for 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.

[1023] 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.

[1024] 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.

[1025] 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.

[1026] 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.

[1027] 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.

[1028] 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."

[1029] The present invention is a system that suggests humorous and witty words when a user inputs text. This system integrates a text input interface, text analysis, communication between a server and a terminal, and a suggestion display function.

[1030] System Overview

[1031] The system consists of the following main components:

[1032] 1. Text Input Interface Means

[1033] 2. Text Analysis Methods

[1034] 3. Communication method to the server

[1035] 4. Suggestion display method

[1036] Program processing

[1037] 1. The phase where the user inputs characters

[1038] The user enters characters into a text input field in an application on the device or in a social networking site.

[1039] Example: A user types "Today."

[1040] 2. The phase where the device analyzes the input content in real time

[1041] The device monitors the text being entered in real time and uses natural language processing techniques to identify key phrases and context in the user's input.

[1042] Example: If a user types "today," the device will parse "today" as a key phrase.

[1043] 3. Requesting the analysis results from the server

[1044] The device sends a request to the server based on the analysis results, which includes key phrases and contextual information.

[1045] Example: A device sends a request to a server containing the key phrase "Today."

[1046] 4. Server-generated suggestions

[1047] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty phrases.

[1048] Example: The server searches for puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[1049] 5. The phase where suggestions are sent from the server to the device

[1050] The server returns the generated suggestions to the terminal.

[1051] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[1052] 6. The device displays suggestions to the user

[1053] The device displays the received suggestions in the text input interface.

[1054] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[1055] Specific examples

[1056] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today" and sends it to the server. The server generates an appropriate pun and sends it back to the device. If the device displays "It's sunny today, and so are the documents! It's a refreshing day," the user can easily select the suggestion, enabling humorous communication.

[1057] This system allows users to incorporate humor in real time while they are typing, which is expected to improve the quality of communication, reduce social media fatigue, and promote meta-thinking.

[1058] The processing flow will be explained below.

[1059] Step 1:

[1060] The user starts to input characters into the text input interface, and the terminal captures the characters in real time with each keystroke in the input field.

[1061] Step 2:

[1062] The device calls a natural language processing (NLP) engine to analyze the input string in real time. Specifically, the NLP engine extracts key phrases and context from the input text.

[1063] Step 3:

[1064] The device uses the extracted key phrases and contextual information to create a suggestion request, which includes the results of analyzing the text entered by the user.

[1065] Step 4:

[1066] The terminal sends a request for generating suggestions to a remote server. The communication means establishes an Internet connection and sends the request to the server.

[1067] Step 5:

[1068] The server receives the request and searches its database for humor, puns, comic stories, and historical events based on key phrases and contextual information. The server's algorithm selects the best suggestions.

[1069] Step 6:

[1070] The server sends the generated suggestions to the device as a response to the request, and the server returns a response.

[1071] Step 7:

[1072] The device receives the response from the server, analyzes the received suggestions, and prepares them for display.

[1073] Step 8:

[1074] The terminal displays the suggestions in the user's text input interface, and the display means visually presents the suggestions to the user.

[1075] Step 9:

[1076] The user checks the suggestions and selects one if necessary. When the user clicks on a suggestion, the content is reflected in the text field.

[1077] Step 10:

[1078] If the user continues to enter more text, the process repeats from step 1. The device again parses the new keyphrase and sends a request to the server.

[1079] Example 1

[1080] 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."

[1081] The challenge is that when users input text, their communication tends to be monotonous and stiff. Also, when users want to instantly use humorous or witty words, it often takes time to come up with the right expression. This reduces the quality of communication, leading to social networking fatigue and communication disruptions.

[1082] 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.

[1083] In this invention, the server includes an interface means for a user to input text, an analysis means for the terminal to analyze the text input by the user in real time to identify key phrases and context, a communication means for the terminal to send a request to a remote server to generate humorous or witty words based on the analysis results, and a means for the remote server to input a prompt sentence into a generation AI model to generate suggestions and display the humorous or witty words received from the remote server on the user's interface. This allows users to easily obtain humorous or witty suggestions in real time, improving the quality of communication and reducing SNS fatigue.

[1084] "Interface means" refers to a user interface for a user to input text.

[1085] "Analysis means" refers to a device or system that analyzes text entered by a user in real time to identify key phrases and context.

[1086] "Communication means" refers to a device or system for transmitting the analysis results of the analysis means to a remote server.

[1087] A "remote server" refers to a server that is connected to a terminal via a network and plays a role in generating humorous and witty suggestions based on the analysis results.

[1088] A "generative AI model" refers to an artificial intelligence model that generates humorous and witty suggestions based on an input prompt.

[1089] A "prompt sentence" refers to an input sentence that causes a generative AI model to generate a suggestion.

[1090] "Suggestions" refer to humorous or witty suggestions or phrases generated by a remote server using a generative AI model.

[1091] "Display means" refers to a device or system that displays suggestions received from a remote server on a user's interface.

[1092] "Key phrases" refer to words or phrases that have significant meaning in the text entered by the user.

[1093] "Contextual information" refers to surrounding information that can help a user better understand the meaning and intent of the text they enter.

[1094] The present invention is a system that suggests humorous and witty words when a user inputs text. This system is realized by integrating a text input interface, real-time analysis, communication between a server and a terminal, and a suggestion display function.

[1095] First, a user enters text into a text input field on a device such as a smartphone or computer. For example, a user might enter "Today" on a social networking site or messaging app. As the user types text, the device monitors it in real time.

[1096] Next, the device analyzes the input text using natural language processing technology. Examples of natural language processing (NLP) used include Google NLP and Hugging Face's BERT model. The device identifies key phrases and context from the input string and generates analysis results based on that. Here, the key phrase "Today" is extracted.

[1097] The device then sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The request is sent using the HTTPS protocol, ensuring fast and secure communication. For example, a request containing the key phrase "Today" is sent to the server.

[1098] Next, the server generates suggestions by inputting a prompt sentence into a generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The server generates a prompt sentence, for example, in the format "Please generate a humorous or witty suggestion based on the following key phrase. Key phrase: 'I have a lot of work to do today.'"

[1099] The server analyzes the suggestions obtained from the model and sends them to the device. For example, a suggestion such as "Today is a sunny day that makes you feel happy and laugh!" is generated and sent from the server to the device.

[1100] Finally, the terminal displays the suggestions received from the server on the user's interface, allowing the user to easily select and add the suggestion to the input. For example, the suggestion "Today is a sunny, laughter-filled day!" is displayed in the text input field.

[1101] This system will enable users to easily incorporate humorous and witty words in real time, which is expected to improve the quality of communication and reduce social media fatigue.

[1102] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1103] Program processing flow (processing steps)

[1104] Step 1:

[1105] A user enters text into a text input field on a device. For example, they enter "Today" in a social networking site or messaging app. This input data becomes the input for the next processing step.

[1106] Step 2:

[1107] The device monitors the text entered by the user in real time and analyzes it using natural language processing technology. Examples of technologies used include Google NLP and Hugging Face's BERT model. Specifically, the device analyzes the input string "Today" and extracts key phrases and contextual information. The output is the key phrase "Today" and its contextual information.

[1108] Step 3:

[1109] The terminal sends a request to a remote server based on the analysis results. This request includes the identified key phrase and context information. The HTTPS protocol is used for transmission. Specifically, the terminal generates request data including the key phrase "Today" and sends it to the server. The output is the request data sent to the server.

[1110] Step 4:

[1111] The server inputs a prompt sentence into the generative AI model based on the received request. For example, OpenAI's GPT-4 is used as the generative AI model. The prompt sentence is "Generate humorous and witty suggestions based on the following key phrase. Key phrase: 'I have a lot of work to do today.'" Specifically, the server inputs the prompt sentence into the generative AI model to generate suggestions. The output is the generated suggestion data.

[1112] Step 5:

[1113] The server returns the generated suggestion to the terminal. Specifically, the server generates suggestion data such as "Today is a sunny day, and it makes you feel like laughing!" and sends it to the terminal. The output is the suggestion data sent to the terminal.

[1114] Step 6:

[1115] The terminal displays the suggestions received from the server on the user's interface. Specifically, the terminal displays the received suggestion data, "Today is a sunny day, and laughter is bright!" below the text input field. The output is the suggestion displayed on the user interface.

[1116] (Application example 1)

[1117] 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."

[1118] Traditional advertising creation requires a lot of time and effort for creators to come up with humorous and witty expressions. It's also difficult to instantly incorporate humor from diverse perspectives, which can result in a reduced advertising effectiveness. Furthermore, the manual process often leads to users losing their unique humor, making it difficult to generate expressions that maintain freshness and creativity.

[1119] 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.

[1120] In this invention, the server includes an interface means for a user to input characters, an analysis means for analyzing the characters input by the user in real time to identify key phrases and contexts, a communication means for sending a request to a remote server to generate humorous or witty expressions based on the analysis results, a display means for displaying the humorous or witty expressions received from the remote server on the user's interface, and a prompt sentence generation means for supporting advertisement creation. This enables creators to quickly and efficiently generate humorous or witty advertising phrases, thereby improving the effectiveness of advertisements.

[1121] The "interface means" refers to an input device or software system that allows a user to input characters.

[1122] "Analysis means" refers to technology that analyzes the characters entered by the user in real time and identifies key phrases and context.

[1123] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[1124] The "display means" is a technology for displaying humorous or witty expressions received from the remote server on the user's interface.

[1125] The "prompt sentence generation means" is a technology that suggests appropriate humorous and witty expressions to support advertising creation.

[1126] "Natural language processing technology" is a computer science technique for analyzing the meaning of characters entered by a user.

[1127] The "remote server" is a server system located at a remote location that receives the analysis results and searches for and generates relevant humorous or witty expressions.

[1128] "Humorous and witty expressions" are expressions that provide fun and witty responses to user input.

[1129] "Advertising creation" is the process of creating advertising content that attracts viewers' attention for promotional and marketing purposes.

[1130] The present invention relates to a system for enabling users to create humorous and witty expressions in advertising creation. The system includes, as its main components, an interface means, an analysis means, a communication means, a display means, and a prompt sentence generation means.

[1131] System Overview

[1132] Interface Means

[1133] An input device or software system that allows users to input characters. Examples include keyboards on smartphones and PCs, and touchscreens on tablets.

[1134] analytical means

[1135] This technology analyzes user-entered characters in real time to identify key phrases and context. It uses Python and the Transformers library (specifically the GPT-3 model) to analyze the input text.

[1136] communication means

[1137] This is a technology that sends requests to a remote server based on the analysis results. An example of this is an API request using the HTTP protocol.

[1138] Display means

[1139] This technology allows humorous and witty expressions received from a remote server to be displayed on the user's interface, such as on a smartphone or PC screen.

[1140] Prompt generation method

[1141] This technology suggests appropriate humorous and witty expressions to support ad creation. It is generated using a generative AI model (e.g., GPT-3).

[1142] Example

[1143] Specific examples are shown below.

[1144] A user uses a smartphone to input "New products are...". This input is acquired through an interface means, and the key phrase "New products" is extracted in real time by an analysis means. The analysis results are sent to a remote server via a communication means. The remote server searches for and generates related humorous or witty expressions based on the received key phrase.

[1145] For example, the remote server generates a humorous expression such as "The new product will shine even brighter tomorrow!" and sends it back to the user's terminal via the communication means. This suggestion is displayed on the user's interface by the display means, so the user can easily select it and incorporate it into their advertisement.

[1146] Example prompt sentence:

[1147] "New products are"

[1148] This system allows ad creators to quickly generate humorous and witty ad phrases while significantly reducing the time and effort required, thereby improving the effectiveness of ads and capturing the attention of viewers.

[1149] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1150] Step 1:

[1151] The user inputs characters using the user interface means. This allows the user to input text using the keyboard of a smartphone or computer. The input character string is acquired by the interface means. For example, the user inputs "The new product is..."

[1152] Input: The string entered by the user (e.g., "The new product is...")

[1153] Output: String obtained by interface means

[1154] Step 2:

[1155] The device uses analytics to analyze the captured text in real time. Specifically, it uses Python and the Transformers library (e.g., the GPT-3 model) to analyze the text. This analysis identifies key phrases and context.

[1156] Input: A string obtained through an interface (e.g., "The new product is...")

[1157] Output: Analyzed key phrases and context (e.g. "new product")

[1158] Step 3:

[1159] The device uses the communication method to send a request to a remote server based on the analyzed key phrases and context. The request is sent in JSON format using the HTTP protocol.

[1160] Input: Parsed key phrase and context (e.g. "new product")

[1161] Output: Request sent to remote server

[1162] Step 4:

[1163] Based on the received request, a remote server generates relevant humorous or witty expressions. The server uses a database or a generative AI model (e.g., GPT-3) to search for and generate the most appropriate expressions.

[1164] Input: The request sent to the remote server (e.g., the "new product" key phrase)

[1165] Output: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[1166] Step 5:

[1167] The remote server returns the generated representation to the terminal, which is transmitted to the terminal via a communication means.

[1168] Input: Generated humor or wit (e.g., "The new product will be even brighter than tomorrow!")

[1169] Output: The generated representation sent back to the terminal

[1170] Step 6:

[1171] The terminal displays the received expressions on the user interface means, and the user can check the displayed humorous and witty expressions and incorporate them into his or her own advertisement creations as needed.

[1172] Input: The generated expression sent back to the device (e.g., "The new product will be even more brilliant tomorrow!")

[1173] Output: Humorous or witty remarks displayed

[1174] In this way, the specific actions and data flow at each step are explained, making it clear the entire process, from the characters entered by the user to the final display of the representation generated by the remote server.

[1175] 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.

[1176] The present invention is a system that suggests humorous and witty words as the user types text, and also combines an emotion engine that recognizes the user's emotions. This system integrates a text input interface, text and emotion analysis, communication between the server and the terminal, and suggestion display functions.

[1177] System Overview

[1178] The system consists of the following main components:

[1179] 1. Text Input Interface Means

[1180] 2. Text and Sentiment Analysis Methods

[1181] 3. Communication method to the server

[1182] 4. Suggestion display method

[1183] 5. Emotion Engine

[1184] Program processing

[1185] 1. The phase where the user inputs characters

[1186] The user enters characters into a text input field in an application on the device or in a social networking site.

[1187] Example: A user types "Today."

[1188] 2. The phase where the device analyzes the input content in real time

[1189] The device monitors the input text in real time, invokes a natural language processing (NLP) engine, and further analyzes emotions from the user's input text through an emotion engine.

[1190] Example: If a user types "today," the device analyzes "today" as a key phrase, and the emotion engine analyzes that the user's emotion is positive.

[1191] 3. Requesting the analysis results from the server

[1192] The device sends a request to the server based on the analysis results, which includes key phrases, context information, and user emotion information.

[1193] Example: A device sends a request to a server containing the key phrase "Today" and a positive sentiment.

[1194] 4. Server-generated suggestions

[1195] Based on the request, the server uses databases and algorithms to search for relevant humorous or witty words, and also selects the best suggestions based on emotional information and adapts the content.

[1196] Example: The server searches for positive puns related to "today" and generates suggestions such as "Today is a sunny, sunny day!"

[1197] 5. The phase where suggestions are sent from the server to the device

[1198] The server returns the generated suggestions to the terminal.

[1199] Example: The server sends a suggestion such as "Today is a sunny day, and it makes you feel like laughing!" to the device.

[1200] 6. The device displays suggestions to the user

[1201] The device displays the received suggestions in the text input interface.

[1202] Example: The device displays a suggestion in the interface, such as "Today is a sunny, laughter-filled day!"

[1203] Specific examples

[1204] For example, suppose a user starts typing "I have a lot of work to do today" in the morning. The device identifies the key phrase "today," and the emotion engine analyzes that the user's emotion indicates stress. The server generates an appropriate humorous suggestion and sends it back to the device. If the device displays "My work is piling up, but looking at the mountains makes me feel lighter!", the user can easily select the suggestion, enabling humorous communication.

[1205] This system allows users to incorporate humor into their input in real time, improving the quality of communication, reducing social media fatigue, and promoting meta-thinking. In addition, the introduction of an emotion engine will further enhance the effect by providing suggestions that match the user's emotions.

[1206] The processing flow will be explained below.

[1207] Step 1:

[1208] The user begins to enter characters into the text input interface, which causes keyboard events to be generated and the terminal monitors the contents of the input field in real time.

[1209] Step 2:

[1210] The device takes the input string and calls a natural language processing (NLP) engine, which analyzes the string to identify key phrases and context.

[1211] Step 3:

[1212] Based on the analyzed key phrases and context, the device calls the emotion engine, which analyzes the emotion (e.g., positive, negative, neutral) from the user's input text.

[1213] Step 4:

[1214] Based on the analysis results, the device creates a request to generate humorous or witty phrases. This request includes key phrases, contextual information, and user emotional information.

[1215] Step 5:

[1216] The terminal transmits a request to the remote server via a communication means, and the remote server receives the request.

[1217] Step 6:

[1218] The server analyzes the incoming request and searches a database for relevant humorous or witty phrases. The server's algorithm then selects the best suggestions, taking into account the emotional information.

[1219] Step 7:

[1220] The server sends the generated suggestions back to the device as a response. The response from the server arrives at the device.

[1221] Step 8:

[1222] The device receives the response from the server, analyzes the suggestion content, and prepares to display the analyzed suggestions.

[1223] Step 9:

[1224] The terminal displays the suggestions in the user's text input interface, and the suggestions are visually presented to the user through the display means.

[1225] Step 10:

[1226] The user checks the suggestions presented and clicks on them as necessary. When the user clicks on a suggestion, the content is reflected in the text field and the input is confirmed.

[1227] Step 11:

[1228] If the user continues to enter more text, the process repeats from step 1 to step 10. Each time the user input changes, new keyphrase and sentiment analysis is performed and new suggestions are generated.

[1229] Example 2

[1230] 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."

[1231] Conventional text input assistance systems lack the ability to suggest appropriate humorous or witty words in real time as the user types, which prevents them from improving the quality of communication. Furthermore, suggestions may be inappropriate because they do not take the user's emotions into account. Therefore, there is a need for a system that can provide appropriate suggestions in real time based on the user's emotions.

[1232] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for a user to input text, an analysis means for analyzing the text input by the user in real time to identify key phrases and context, a communication means for sending a request to a remote computer to generate humorous or witty words based on the analysis results, a display means for displaying the humorous or witty words received from the remote computer on the user's interface, an emotion analysis means for analyzing emotions from the user's input text, and an integration means for integrating the analysis results of the emotion analysis means into the analysis means. This makes it possible to provide appropriate suggestions according to the user's emotions in real time.

[1233] "Input means" refers to an interface for a user to input text, and includes, for example, a keyboard, a touch screen, a voice input device, and the like.

[1234] The "analysis means" is an element that has the function of analyzing the text entered by the user in real time and identifying key phrases and context.

[1235] The "communication means" is an element having a function of transmitting a request from the terminal to a remote computer to generate humorous or witty words based on the analysis results.

[1236] The "display means" is an element having the function of displaying humorous or witty words received from a remote computer on the user's interface.

[1237] The "emotion analysis means" is an element that has the function of analyzing emotions from the user's input text. The emotion engine is used to identify the user's emotions.

[1238] The "integration means" is an element having a function of integrating the emotion information analyzed by the emotion analysis means into the analysis means and processing it in an integrated manner as an analysis result.

[1239] "Remote computer" refers to a server or cloud-based system that receives communications from a device, analyzes the results, generates humorous or witty remarks, and sends them back to the device.

[1240] To implement this invention, the following system configuration and processing are required: This system provides a function to suggest humorous and witty words when a user inputs text, and recognizes the user's emotions to generate appropriate suggestions.

[1241] System Configuration

[1242] The system mainly consists of the following components:

[1243] 1. Input Method

[1244] An interface through which a user inputs text. Examples include keyboards, touchscreens, and voice input devices.

[1245] 2. Analysis method

[1246] It uses a natural language processing (NLP) engine to analyze user-entered text in real time and identify key phrases and context.

[1247] 3. Means of communication

[1248] It has the ability to send requests to a remote computer to generate humorous or witty remarks based on the analysis results. The means of communication include transmitting data over the Internet.

[1249] 4. Display means

[1250] It has the ability to display humorous and witty comments received from a remote computer in the user's interface, allowing the user to see the suggestions in real time.

[1251] 5. Emotion analysis method

[1252] It has the ability to analyze emotions from user input text. A sentiment analysis engine is used to identify emotions such as positive and negative.

[1253] 6. Integration Methods

[1254] It has a function to integrate the results of the emotion analysis means into the analysis means and process them in an integrated manner as the final analysis result.

[1255] Processing flow and specific examples

[1256] The specific process flow of this system and an example are shown below:

[1257] 1. Text Input

[1258] The user types, "I have a lot of work to do today."

[1259] 2. Real-time analysis

[1260] The device analyzes this input in real time and identifies the key phrase "today."

[1261] The emotion analysis engine analyzes the user's emotions and determines that the user is feeling stressed.

[1262] 3. Sending a request

[1263] The device sends a request containing the analysis results (the key phrase "today" and the emotional information "stress") to the remote computer.

[1264] 4. Suggestion Generation

[1265] Based on the request, the remote computer uses a database and algorithms to generate a suggestion such as, "You have a lot of work to do, but looking at the mountains makes you feel lighter!"

[1266] 5. Displaying suggestions

[1267] The remote computer sends suggestions to the terminal, which then displays them on the user's interface.

[1268] Examples and prompts

[1269] For example, if a user starts typing "I have a lot of work to do today" in the morning, the device will identify the key phrase "today," and the sentiment analysis engine will determine that the user is feeling stressed. The remote computer will generate appropriate humor and suggest, "My work is piling up, but looking at the mountains makes me feel better!" The device will then display this suggestion to the user, allowing the user to communicate with humor.

[1270] Example prompt sentence:

[1271] When you type "I have a lot of work to do today," the suggestion is: "My work is piling up, but looking at the mountains makes me feel lighter!"

[1272] In this way, the present invention improves the quality of communication by analyzing the user's input and emotions in real time and providing appropriate suggestions.

[1273] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1274] Step 1:

[1275] The user inputs text. The user inputs "I have a lot of work to do today" into the text input field of the terminal. This input data is sent to the terminal as text.

[1276] Step 2:

[1277] The device analyzes the input content in real time. The device receives the input text and calls a natural language processing (NLP) engine. The NLP engine analyzes the text "I have a lot of work to do today" and extracts the key phrase "today" and contextual information. The extracted information is generated as intermediate data.

[1278] Step 3:

[1279] The emotion analysis means analyzes the user's emotions in real time. The device uses an emotion engine to analyze the user's emotions from the text "I have a lot of work to do today." The emotion engine identifies that the user is feeling "stressed." The results of the emotion analysis are generated as intermediate data along with the emotion information.

[1280] Step 4:

[1281] The analyzed key phrases and emotional information are integrated. The device integrates the intermediate data from the analysis means and the emotional analysis means, and generates the final analysis result, "Key phrase: Today, Emotion: Stress." This integrated data becomes the input data for the request to the server.

[1282] Step 5:

[1283] The device sends a request to the server. The device then sends the integrated analysis results to the remote computer (server). The request includes the data "key phrase: today, emotion: stress." This is delivered to the server as a request.

[1284] Step 6:

[1285] The server generates suggestions. The server analyzes the request data received from the device, "Key phrase: Today, Emotion: Stress," and generates appropriate suggestions using a database and algorithms. The server generates humorous suggestions such as "My work is piling up, but looking at the mountains makes me feel lighter!" This is the server's output data.

[1286] Step 7:

[1287] The server sends the generated suggestion to the device. The server returns the generated suggestion, "My work is piling up, but looking at the mountains makes me feel lighter!" to the device. This suggestion becomes the response to the device.

[1288] Step 8:

[1289] The device displays the received suggestions to the user. The device displays the received suggestions in the interface. Specifically, the suggestion "I have a lot of work to do, but looking at the mountains makes me feel lighter!" is displayed below the text input field. The user can check this suggestion and click it to add it to the text if necessary.

[1290] (Application example 2)

[1291] 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."

[1292] When users input text, especially in situations such as product reviews, there is a need to improve the quality of communication by incorporating humorous and witty expressions that reflect emotions and context. However, conventional text input systems lack the ability to analyze users' emotions and suggest humorous comments accordingly, making it difficult to generate appropriate comments at the right time. There is also a need for a system that allows users to enjoy and feel satisfied in the review writing process.

[1293] 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.

[1294] In this invention, the server includes means for suggesting optimal humorous or witty words based on the analyzed emotional information, means for analyzing the user's emotional state by combining the emotion analysis means, and means for displaying the humorous or witty words received from the remote server on the user's interface. This allows the user to receive humorous or witty suggestions in real time that correspond to their emotions when writing a product review, thereby improving satisfaction in the review writing process and the quality of communication.

[1295] A "user" is a person who operates a system or application.

[1296] "Text input" refers to the act of a user inputting text information.

[1297] "Interface means" refers to a screen or tool that allows a user to input text information into a system or application.

[1298] "Analysis means" refers to technology that monitors input text in real time and identifies key phrases and context.

[1299] "Emotion analysis means" is a technique for identifying the user's emotional state from input text.

[1300] "Communication means" refers to the technology used to send requests to a remote server based on the analysis results.

[1301] The "remote server" is a server located at a remote location via a network, and is a server for analyzing data and generating suggestions.

[1302] The "display means" refers to a technique for visually displaying humorous or witty remarks received from the remote server to the user.

[1303] "Humorous or witty language" is an expression or comment that provokes laughter or wit, depending on the context in which it is used.

[1304] "Emotion information" is the emotional state at that time analyzed from the text entered by the user.

[1305] The present invention is a system that suggests humorous and witty words when a user inputs text, and further combines it with an emotion engine that analyzes the user's emotions. This system integrates a text input interface means, a text and emotion analysis means, a communication means with a server, and a suggestion display means.

[1306] System configuration

[1307] 1. Text Input Interface Means

[1308] Screens and tools for users to input text include text input fields in smartphone applications.

[1309] 2. Text and Sentiment Analysis Methods

[1310] We use natural language processing technology (e.g., spaCy) to analyze user-entered text in real time, identifying key phrases and context from the text, and then use sentiment analysis tools (e.g., IBM Watson Tone Analyzer) to analyze emotional information.

[1311] 3. Communication method to the server

[1312] WebSocket technology is used to send the input text and analysis results to a remote server, allowing for real-time data communication.

[1313] 4. Suggestion display method

[1314] This technology allows users to receive humorous or witty suggestions from a remote server and display them in a text input field. The suggestions are displayed on the smartphone interface.

[1315] Software and Hardware Usage

[1316] NLP engine: Uses spaCy or NLTK to analyze text and identify key phrases.

[1317] Sentiment Engine: Uses IBM Watson Tone Analyzer to analyze the sentiment of text entered by the user.

[1318] Server: Uses AWS Lambda to analyze data and generate suggestions.

[1319] Real-time communication: Analysis results are quickly sent and received between the server and the client using WebSocket.

[1320] Device: Uses a smartphone and offers applications that run on iOS and Android platforms.

[1321] Specific usage scenarios

[1322] For example, suppose a user types "This product is..." into a review on an online shopping site. The NLP engine analyzes this text, identifying key phrases, and the sentiment engine analyzes positive sentiment. The analysis results are sent to a server, which searches a database to generate the most appropriate humorous or witty comment. This comment is sent to the user's smartphone in real time, and a suggestion such as "This product is great! It's as useful as a magic wand!" is displayed in the user's input field.

[1323] Prompt Sentence Examples

[1324] "When a user types 'this product' in a product review, generate a humorous or witty comment. Assume the user's sentiment is positive."

[1325] In this way, the system of the present invention can provide a more enjoyable review writing experience by providing humorous and witty comments that are adapted to the user's emotions and the text content.

[1326] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1327] Step 1:

[1328] A user inputs "This product is" into a text input field of a smartphone. The input is acquired in real time via a text input interface means. The input data is "This product is."

[1329] Step 2:

[1330] The terminal sends the input text to an NLP engine (e.g., spaCy) to identify key phrases and context. The input data is "This product is", and the NLP engine analyzes it to extract the key phrase "This product is". The analyzed data "Key phrase: This product is".

[1331] Step 3:

[1332] The terminal sends the analyzed data to an emotion engine (e.g., IBM Watson Tone Analyzer) to analyze the emotional state of the input text. The input data is an emotion analysis request for "This product", and the emotion engine analyzes it and determines the emotional information as "positive". The analyzed emotion data "Emotion: Positive" is obtained.

[1333] Step 4:

[1334] The terminal sends the analyzed emotion data and key phrase data to the server. The input data is "key phrase: this product, emotion: positive", and the server receives the request based on this. The received data "key phrase: this product, emotion: positive" is stored.

[1335] Step 5:

[1336] The server searches the database based on the analyzed data and sentiment data to generate relevant humorous and witty phrases. The input data is "key phrase: this product, sentiment: positive", and the server searches the database to generate suggestions. The generated suggestion data is "This product is great! It's as convenient as a magic wand!"

[1337] Step 6:

[1338] The server returns the generated suggestion data to the device. The input data is "This product is great! It's as convenient as a magic wand!", and the device receives it. The received data is saved as "This product is great! It's as convenient as a magic wand!".

[1339] Step 7:

[1340] The device receives a humorous or witty phrase and displays it in the text input field. The input data is "This product is great! It's as convenient as a magic wand!" and is displayed in the user interface. The display data is "This product is great! It's as convenient as a magic wand!".

[1341] This allows appropriate humorous and witty comments to be displayed in real time in response to the text entered by the user, making the system easy to use.

[1342] 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.

[1343] 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.

[1344] 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.

[1345] 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.

[1346] FIG. 9 illustrates 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 behaviors 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.

[1347] 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.

[1348] 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).

[1349] 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.

[1350] 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."

[1351] 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.

[1352] 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).

[1353] 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.

[1354] 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.

[1355] 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.

[1356] 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.

[1357] 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.

[1358] 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.

[1359] 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.

[1360] 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.

[1361] 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.

[1362] 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.

[1363] The following is further disclosed regarding the above embodiment.

[1364] (Claim 1)

[1365] an interface means for a user to input text;

[1366] An analytical means for analyzing user-entered text in real time to identify key phrases and context;

[1367] a communication means for sending a request to a remote server to generate humorous or witty words based on the analysis results;

[1368] a display means for displaying the humorous or witty remarks received from the remote server on a user interface;

[1369] A system including:

[1370] (Claim 2)

[1371] 2. The system according to claim 1, further comprising means for the remote server to search for related humor, puns, comic stories, or historical events based on the analysis results received from the user and generate suggestions.

[1372] (Claim 3)

[1373] 2. The system of claim 1, wherein the analyzing means includes means for analyzing the meaning of the text entered by the user using natural language processing techniques.

[1374] "Example 1"

[1375] (Claim 1)

[1376] an interface means for a user to input text;

[1377] an analysis means for analyzing text entered by the user in real time by the device to identify key phrases and context;

[1378] a communication means for the terminal to send a request to a remote server to generate humorous or witty words based on the analysis results;

[1379] a display means for displaying the humorous or witty words received from the remote server on a user interface; and

[1380] A system including:

[1381] (Claim 2)

[1382] 10. The system of claim 1, further comprising means for the remote server to search for and generate suggestions for relevant humor, puns, stories, or historical episodes based on the analysis results received from the user.

[1383] (Claim 3)

[1384] 2. The system of claim 1, wherein the analyzing means includes means for analyzing key phrases and contextual information of the user-entered text using natural language processing techniques.

[1385] "Application Example 1"

[1386] (Claim 1)

[1387] an interface means for a user to input characters;

[1388] An analytical tool that analyzes user-entered characters in real time to identify key phrases and contexts;

[1389] a communication means for sending a request to a remote server to generate humorous or witty expressions based on the analysis results;

[1390] a display means for displaying the humorous or witty expressions received from the remote server on a user interface;

[1391] a prompt sentence generation means for supporting advertisement creation;

[1392] A system including:

[1393] (Claim 2)

[1394] 10. The system of claim 1, further comprising means for the remote server to search for relevant humor, puns, proverbs or witty expressions to generate suggestions based on the analysis results received from the user.

[1395] (Claim 3)

[1396] 2. The system according to claim 1, wherein the analyzing means includes means for analyzing the meaning of characters input by the user using natural language processing techniques.

[1397] "Example 2: Combining Emotion Engines"

[1398] (Claim 1)

[1399] an input means for a user to input text;

[1400] An analytical means for analyzing user-entered text in real time to identify key phrases and context;

[1401] a communication means for sending a request to a remote computer to generate humorous or witty words based on the analysis results;

[1402] display means for displaying the humorous or witty remarks received from the remote computer on a user interface;

[1403] A sentiment analysis means for analyzing sentiment from a text input by a user;

[1404] an integration means for integrating the results of the analysis by the emotion analysis means into the analysis means;

[1405] A system including:

[1406] (Claim 2)

[1407] 2. The system of claim 1, further comprising means for the remote computer to search for related humor, puns, comic stories, or historical events based on the analysis results received from the user and generate suggestions.

[1408] (Claim 3)

[1409] 2. The system of claim 1, wherein the analyzing means includes means for analyzing the meaning of the text entered by the user using natural language processing techniques.

[1410] "Application example 2 when combining emotion engines"

[1411] (Claim 1)

[1412] an interface means for a user to input text;

[1413] An analytical means for analyzing user-entered text in real time to identify key phrases and context;

[1414] a communication means for sending a request to a remote server to generate humorous or witty words based on the analysis results;

[1415] a display means for displaying the humorous or witty remarks received from the remote server on a user interface;

[1416] a means for analyzing the emotional state of a user in combination with an emotion analysis means;

[1417] A means of suggesting the most appropriate humorous or witty words based on the analyzed emotional information;

[1418] A system including:

[1419] (Claim 2)

[1420] 2. The system according to claim 1, further comprising means for generating suggestions by searching for relevant humor, puns, comic stories, or historical events based on the analysis results and the emotional information received from the remote server.

[1421] (Claim 3)

[1422] 10. The system of claim 1, wherein the analyzing means includes means for analyzing the meaning and emotional state of the user-entered text using natural language processing techniques. [Explanation of symbols]

[1423] 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. an interface means for a user to input text; An analytical means for analyzing user-entered text in real time to identify key phrases and context; a communication means for sending a request to a remote server to generate humorous or witty words based on the analysis results; a display means for displaying the humorous or witty remarks received from the remote server on a user interface; A system including:

2. The system according to claim 1, further comprising means for generating suggestions by searching for related humor, puns, comic stories, or historical events based on the analysis results received from the remote server.

3. 2. The system of claim 1, wherein the analyzing means includes means for analyzing the meaning of the text entered by the user using natural language processing techniques.

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