Method for generating content, program for the same, and information processing device

Abstract

To achieve acceleration and facilitation of a content generation process in line with the popularity and preferences against a specific theme in creating a content.SOLUTION: A method for generating a content includes the steps of: causing a processing unit (14) of a computer (information processing device 4) to collect multiple related words on the basis of theme words set by registered users to provide users with extracted word information generated using the related words on the basis of extraction conditions; storing the extracted word information in a storage unit (10); comparing the content generated on the basis of the extracted word information with the extracted word information in the storage unit to monitor whether the related words contained in the extracted word information are used in the content; and generating guide information for generating a content using the related words that are not used in the extracted word information to present it to the users together with the monitoring results.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The technology disclosed herein relates to a technology for collecting keywords that are of high interest to users for content to be made public on a network, and then creating content that effectively uses these keywords. [Background technology]

[0002] Users of the Internet, etc., use keywords according to their specific purpose to search for content and websites that provide the desired information, etc., based on the search results. In this search process, for example, the entered keywords may have a broad meaning compared to the desired content, or the desired content may not be sufficiently specified. In such cases, the search results may return a huge number of results that include content that is relevant to the purpose as well as content that is not related to the purpose. In order to obtain search results that meet the needs of the user, a method is used in which multiple keywords related to the desired topic are combined. Such related keywords can be provided by search service sites or prediction functions installed in web browsers that suggest words that are predicted to be related to the words entered by the user.

[0003] Conversely, website creators who create, update, and manage content can create content that matches the themes users are looking for if they can understand the areas that correspond to users' interests. Therefore, considering and researching related keywords that users use in searches is an important process for understanding user needs.

[0004] Regarding keywords used in such searches, there is a system that extracts a second query with similar features to those of an input first query from a query history stored in a storage unit, and determines an additional query to be suggested (for example, Patent Document 1). In addition, there is known a system that searches documents in a database, extracts co-occurring words and query words with a specific word, and calculates and displays the relevance of phrases containing those words, making it easy for users to understand whether the contents of the document are what they are looking for (for example, Patent Document 2). [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2018-22214 A [Patent Document 2] JP 2006-139484 A Summary of the Invention [Problem to be solved by the invention]

[0006] Incidentally, even if content creators put effort into researching and collecting keywords related to the interests and tastes of users who use the network, if the keywords are not sufficiently reflected in the generated content, they may not get good results in search results and may have fewer opportunities to catch users' attention. In addition, since the format and capacity of content vary depending on, for example, each update, each content, or the type of text, video, image, etc., it takes a lot of time and effort to check the content and to scrutinize whether multiple keywords are used appropriately. In particular, user tastes, interests, and world trends change in a short period of time, and if content is not released earlier than others, it will have a significant impact on the attention and evaluation of the content. For this reason, it is difficult for creators to spend a lot of time and effort on researching the theme of the content and keywords of interest, creating the content, checking the content including the usage status of keywords, etc., and there is a problem of wanting to release the content as soon as possible.

[0007] Patent Documents 1 and 2 do not disclose or suggest any solution to such problems, and the configurations disclosed in Patent Documents 1 and 2 cannot solve such problems.

[0008] Therefore, in consideration of the above problems, the object of the technology disclosed herein is to speed up and facilitate the process of generating content that is in line with trends and preferences for a particular theme by performing a checking process to determine whether collected keywords are being fully utilized within the content when creating the content, and by providing guide information for the use of the collected keywords. [Means for solving the problem]

[0009] In order to achieve the above-mentioned objective, one aspect of the content generation method of the present disclosure is a content generation method executed by a computer, comprising the steps of: a processing unit of the computer collecting a plurality of related words based on theme words set by a registered user, and providing extracted word information generated using the related words based on extraction conditions to the user; storing the extracted word information in a memory unit; the processing unit comparing the content generated based on the extracted word information with the extracted word information in the memory unit and monitoring whether the related words included in the extracted word information have been used in the content; and the processing unit generating generation guide information for the content using unused related words in the extracted word information together with the monitoring results, and presenting the generated guide information to the user.

[0010] In the above content generation method, the processing unit includes a step of performing either or both of a process of making the related words in the content explicitly visible or a process of making the unused related words explicitly visible in the extracted word information, and presents the content in which the related words are explicitly visible or the extracted word information to the user as the monitoring result. The above content generation method includes a step in which the processing unit automatically creates the content using some or all of the related words contained in the extracted word information, or obtains the content from a user terminal or an external automatic generation means via a network. The above content generating method includes a step in which the processing unit generates content information by converting the data format of the imported content or extracting the substance of the content, and uses the content information for comparison with the extracted word information. In the above content generation method, the processing unit includes a step of generating content complement information using the unused related words, or acquiring the generated content complement information, and presents the generation guide information including the complement position within the content together with the content complement information.

[0011] In order to achieve the above-mentioned objective, one aspect of the content generation program of the present disclosure causes a computer to execute the following functions: collecting a plurality of related words based on theme words set by a registered user, generating extracted word information using the related words based on extraction conditions, providing the extracted word information to the user, comparing content generated based on the extracted word information with the extracted word information stored in a memory unit, and monitoring whether the related words included in the extracted word information have been used in the content, and generating generation guide information for the content using unused related words in the extracted word information together with the monitoring results, and presenting the generated information to the user.

[0012] In the above content generation program, the computer is caused to execute a function of performing either or both of a process of making the related words in the content explicitly visible or a process of making the unused related words in the extracted word information explicitly visible, and a function of presenting the content in which the related words are explicitly visible or the extracted word information to the user as a result of the monitoring. In the above content generation program, the computer is caused to execute a function of automatically creating the content using some or all of the related words contained in the extracted word information, or obtaining the content from a user terminal or an external automatic generation means via a network. The content generation program causes the computer to execute a function of converting the data format of the imported content or generating content information by extracting the details of the content, and a function of comparing the content with the extracted word information using the content information. In the above content generation program, the computer is caused to execute a function of generating content complement information using the unused related words, or acquiring the generated content complement information, and a function of presenting the generation guide information including the complement position within the content together with the content complement information.

[0013] In order to achieve the above-mentioned objective, one aspect of an information processing device disclosed herein comprises a related word extraction processing unit that collects a plurality of related words based on theme words set by a registered user, generates extracted word information using the related words based on extraction conditions, and provides the extracted word information to the user; a memory unit that stores the extracted word information in association with user information; and a content generation processing unit that compares content generated based on the extracted word information with the extracted word information, monitors whether the related words included in the extracted word information have been used in the content, and generates generation guide information for the content using unused related words in the extracted word information together with the monitoring results, and presents the generated information to the user.

[0014] In the above-mentioned information processing device, the content generation processing unit performs either one or both of a process of making the related words in the content explicitly visible or a process of making the unused related words explicitly visible in extracted word information, and presents the content with the related words explicitly visible or the extracted word information to the user as the monitoring result. In the above information processing device, the content generation processing unit automatically creates the content using some or all of the related words contained in the extracted word information, or obtains the content from a user terminal or an external automatic generation means via a network. In the information processing device, the content generation processing section generates content information by converting the data format of the imported content or by extracting the substance of the content, and uses the content information for comparison with the extracted word information. In the above information processing device, the content generation processing unit generates content complement information using the unused related words, or acquires the generated content complement information, and presents the generation guide information including the complement position within the content together with the content complement information. Effect of the Invention

[0015] According to the technology of the present disclosure, any of the following effects can be obtained.

[0016] (1) In creating content, by collecting keywords that are judged to be in line with the tastes and trends of network users and using these keywords in the content without deficiency, it is possible to improve the evaluation of the content and the website that contains this content, including increasing the number of accesses. (2) The usage status of collected keywords for generated content can be easily understood, thereby reducing the time and workload required from content creation to publication. (3) By generating guide information for collected keywords, including information for identifying missing keywords and encouraging their use, along with the results of monitoring the usage status within the content, and providing the information to users, the speed at which content can be generated and updated can be increased and the impact of factors such as keyword popularity can be reduced when content is released. [Brief description of the drawings]

[0017] [Figure 1] 1 is a diagram illustrating an example of a configuration of a content generation system according to a first embodiment. [Diagram 2] FIG. 13 is a diagram illustrating an example of a generating function of extracted word information. [Diagram 3] 13A and 13B are diagrams illustrating an example of monitoring results of the usage state of related words and generation guide information. [Figure 4] FIG. 11 is a diagram illustrating an example of a generation process of extracted word information. [Diagram 5] FIG. 11 is a diagram illustrating an example of a generation process of extracted word information. [Figure 6] 13 is a flowchart illustrating an example of a content generation process. [Figure 7] 13 is a flowchart showing an example of a process for generating extracted word information. [Figure 8] FIG. 11 is a diagram illustrating an example of the configuration of a content generation system according to a second embodiment. [Figure 9] FIG. 11 is a diagram showing an example of content generation guide information. [Figure 10] 13 is a flowchart illustrating an example of a content generation process. [Figure 11] FIG. 11 is a diagram illustrating an example of the configuration of a content generation system according to a third embodiment. [Figure 12] 13 is a flowchart illustrating an example of a content generation process. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] [First embodiment] Fig. 1 shows a content generation system according to the first embodiment. The configuration shown in Fig. 1 is an example, and the technology of the present disclosure is not limited to such a configuration. This content generation system 2 collects and provides related words that are relevant or similar to the theme words that describe the content to users who are creators creating content on a specific theme, and has the function of monitoring the use of related words in the generated content and presenting guide information that can be used to update or change the content based on the monitoring results. Related words are an example of keywords that specify the contents indicated by the theme words, the purpose or use of the content created based on the theme words, and other information that can be provided to users of the content. More specifically, theme words are keywords that represent broad concepts that specify, for example, the contents of interest to multiple browsing users on a network, or popular items or fields. In contrast, related words include keywords that are used by browsing users on a network to search for information in combination with theme words, as well as keywords used to specify the contents and types of online content and web content consisting of articles, videos, audio information, etc.

[0019] As shown in FIG. 1, the content generation system 2 includes an information processing device 4 and a user terminal 6, and the information processing device 4 and the user terminal 6 transmit and receive information via a network such as the Internet.

[0020] <About the information processing device 4> The information processing device 4 has a processing function for collecting related words and extracting extracted word information from the related words, as well as a function for monitoring the usage of related words contained in the extracted word information for content and providing the user with content creation guide information based on the monitoring results, and is configured as a computer having a communication unit 8, a storage unit 10, an information presentation unit 12, and a processing unit 14. For example, a PC (Personal Computer) connectable to a network or a server device that publishes or manages content on a network is used as the information processing device 4.

[0021] The communication unit 8 has a function of connecting, via a network, to the user terminal 6 used by the registered user and the information supply means 20 (FIG. 2) used to collect related words. The memory unit 10 stores, for example, collected related words and extracted word information extracted and generated from these related words, as well as data such as registered user information, and is an example of a means for storing the content generation program disclosed herein and other programs such as an OS (Operating System) that controls the basic operation of the information processing device 4, and may be configured with a ROM (Read Only Memory) or non-volatile memory. The information presentation unit 12 is an example of a means for presenting to a user the generated extracted word information, as well as the monitoring results of whether related words included in the extracted words are used in the content, and content creation guide information generated based on the monitoring results. The information presentation unit 12 may be a processing unit that not only displays the generated extracted word information, the monitoring results, and the creation guide information visibly to the user using, for example, the monitor of the information processing device 4, but also controls the transmission of these data to the user terminal 6 via the communication unit 8.

[0022] The processing unit 14 is an example of a functional unit that performs processing for collecting related words, monitoring processing for the usage state of related words in content, and generating content generation guide information based on the monitoring results. The processing unit 14 is composed of, for example, a processor and a RAM (Random Access Memory) of the information processing device 4, and functions as a related word extraction processing unit 16 and a content generation processing unit 18 by executing and computing a content generation program. The related word extraction processing unit 16 is an example of a functional unit that collects multiple related words based on the theme words and set conditions set from the user terminal 6, and generates extracted word information by extracting a portion of these related words based on specified extraction conditions. The content generation processing unit 18 is a functional unit that performs a process of monitoring whether related words are used in the content by comparing the content data with the extracted word information, and also generates generation guide information that identifies unused related words and suggests the use of unused related words in the content. The content generation processing unit 18 includes, for example, a monitoring processing unit 19. Furthermore, the content generation processing unit 18 may have a function of generating content by using some or all of the related words included in the generated extracted word information, or may provide the extracted word information to an external generation means (not shown) to automatically generate content. The content generation processing unit 18 performs a monitoring process of the related words by comparing the content data acquired from the user or the external generation means, or the automatically generated content data, with the extracted word information.

[0023] <About User Terminal 6> The user terminal 6 is a terminal device used by a user who uses the information processing device 4 to request extracted word information for a specific theme word, or to issue an instruction to upload content or a website including the content onto a network, and is composed of a computer equipped with an information input function, a communication function, and an information display function, such as a PC or a mobile terminal device. This user includes a person who operates and manages a website or creates content using the theme word and the extracted word information obtained. The user terminal 6 registers terminal information and user identification information, for example, in the information processing device 4, and also registers theme words and collection conditions for keyword collection. The user terminal 6 transmits, for example, theme words and related word collection conditions between the information processing device 4 and the user terminal 6, and receives extracted word information, monitoring results of the use of related words in the content, and generation guide information from the information processing device 4. In addition, the user terminal 6 transmits content data generated based on the extracted word information presented by the information processing device 4 to the information processing device 4.

[0024] <Regarding the process of collecting related words and generating extracted word information> Fig. 2 shows a function for generating extracted word information. The configuration shown in Fig. 2 is one example. When the related word extraction processing unit 16 of the information processing device 4 receives, for example, a request to collect related words from the user terminal 6 or instruction information including theme words and collection conditions, the related word extraction processing unit 16 accesses the external information supply means 20 via the communication unit 8 to collect keywords published on the network. At this time, the related word extraction processing unit 16 is configured with a related word collection unit 22 and an extracted word information generation unit 24 by, for example, executing a content generation program. The related word collection unit 22 is an example of a functional unit that provides theme words and previously collected related words to the information supply means 20, and receives related words collected based on this information from the information supply means 20.

[0025] The extracted word information generating unit 24 is an example of a functional unit that extracts some related words based on extraction conditions for the collected related words and generates extracted word information. In this extraction process, for example, the appearance tendency or collection tendency on the network for the collected related words is analyzed, and some related words are extracted based on the analysis result and the extraction conditions to generate extracted word information. The collection tendency includes, for example, when related words are collected in multiple stages using a theme word and multiple related words, the number of occurrences of the same related word when it appears repeatedly, and information on the appearance state such as acquisition of the timing of appearance and continuity. In addition, the collection tendency includes, for example, information regarding theme words and related words that can be analyzed based on information held by the information supply means 20 or information presented by the information supply means 20. Furthermore, the extraction condition, which is the criterion for the extraction process, is an example of a condition for selecting a specific keyword from multiple related words based on, for example, the analysis result of the collection tendency, and includes, for example, a threshold value for the number of occurrences, the time of appearance, and the number of consecutive appearances. Then, the extracted word information generating unit 24 generates extracted word information from some of the related words extracted based on the extraction conditions, and presents the information to the user via the information presenting unit 12 and transmits it to the user terminal 6.

[0026] <About the information supply means 20> The information supply means 20 is composed of a server device, a database, etc., having a function of providing related words related to the input keyword, and includes, for example, a search service of a website related to the keyword. In addition, the information supply means 20 may be, for example, a processing device having a function of acquiring search results from an external search service (not shown) using a theme word or related words input from the information processing device 4 and providing the search results to the information processing device 4, or a website using artificial intelligence (hereinafter referred to as "AI") capable of processing such as investigating related words using a research means or database (not shown) for the input keyword or predicting related words used by browsing users or other websites.

[0027] In the process of collecting related words, for example, the information supply means 20 may have a function of providing information corresponding to the specified collection conditions, or the information processing device 4 may extract information corresponding to the set collection conditions from search information obtained by inputting theme words and related words into the information supply means 20. The information supply means 20 used in this collection process is not limited to a single search service, website that can use AI, or database, and related words may be collected using multiple services in combination. When multiple information supply means 20 are used in this way, the information processing device 4 may store the related words collected by each in a common work area such as the extracted word information generation unit 24, and perform processing such as analysis of collection trends.

[0028] <Conditions for collecting related words> The collection conditions for collecting related words using the information supply means 20 are conditions such as the means for collecting keywords and the type of information, and include, for example, the following: (1) A condition for collecting keywords that have been used in past searches stored in the information supply means 20 and are to be input next for the purpose of further narrowing down the contents of the search results using a theme word or a keyword related thereto (hereinafter referred to as "collection condition 1"); (2) A condition for collecting keywords that are predicted and calculated by the information supply means 20 from information such as past search records, and that are used in combination with theme words to identify information such as content to be searched for or to narrow the search range (hereinafter referred to as "collection condition 2"); (3) A condition for collecting keywords used in websites or contents listed in search results obtained by using a search function of the information supply means 20 or a search means not shown in the figure, using a theme word or a related word previously obtained (hereinafter referred to as "collection condition 3"); (4) A condition for collecting keywords used in advertisements, etc. displayed on a search result page in a search result obtained using the search function possessed by the information supply means 20 or a search means not shown (hereinafter referred to as "collection condition 4").

[0029] It should be noted that the collection conditions 1 to 4 shown here are merely examples, and the technology of the present disclosure may collect related words based on conditions other than collection conditions 1 to 4.

[0030] <About content generation processing> 3 shows the monitoring results of the usage status of related words in content and the generated guide information. These monitoring results and generated guide information are examples. The content generation system 2 may acquire content to be compared with extracted word information from the user terminal 6 or may automatically generate the content or acquire the content from the outside by the information processing device 4. That is, when the user terminal 6 creates content using related words contained in the received extracted word information, for example, the user terminal 6 transmits the content data to the information processing device 4 for uploading onto the network. In addition, when the related word extraction processing unit 16 generates extracted word information, the information processing device 4 uses some or all of the related words to automatically generate content to be provided to the user, and also provides the related words to an external content generation means using AI or the like to automatically generate content. When the content generation processing unit 18 of the information processing device 4 receives content data generated by any of these methods, it reads the extracted word information stored in the storage unit 10 based on the user information and performs a comparison process with the content data. This comparison process is an example of a monitoring process of the present disclosure, and monitors the use state of related words in the content. In this monitoring process, for example, it may be determined whether all related words included in the extracted word information are used in the content, or it may be monitored whether some related words are used. In the monitoring process, for example, if the content is composed of an article, a text search is performed on the article part against the related words in the extracted word information, and it is monitored whether there are matching words or similar words. In addition, for content other than text format or part of the content, the content of the content may be converted into a format that can be compared with the related words and monitored. The monitoring process may set monitoring conditions that set the monitoring target and monitoring contents. The monitoring conditions may be set using, for example, the number of related words, an evaluation value set based on the analysis result of the collection tendency obtained during the related word collection process, or the like.

[0031] 3A, the content generation processing unit 18 generates a monitoring result screen 30 as an example of the monitoring result of the usage state of related words, and presents it to the user terminal 6. This monitoring result screen 30 displays a usage state display 34 indicating the portion where the related words are used, for example, in the content data 32. This usage state display 34 includes processing for highlighting the related words in the content data 32 formed as a document such as an article by changing the typeface or font, changing the background color, etc.

[0032] The content generation processing unit 18 generates, for example, a monitoring result screen 30, and generates content generation guide information for allowing the user to understand unused related words from among the extracted words. This generation guide, for example, as shown in B of FIG. 3, causes at least related words (related words P, R, Y, and Z) that are not used in the content to be clearly indicated in the extracted word information 40. The extracted word information 40 includes, for example, an extracted word area 42 in which the extracted related words are stored, and an evaluation value area 44 set for each related word. The evaluation value area 44 is an example of information determined and set by an analysis process of the appearance tendency of the related words, or priority information set using this information. The extracted word area 42 displays a usage status display 46 for the listed related words, such as changing the font of the related words used in the content data 32 or lightening the color of the characters. The usage status display 46 and the usage status display 34 in the monitoring result screen 30 are linked to each other, and both share the monitoring result of the content generation processing unit 18, and the identification and number of used related words are managed based on the contents of the monitoring result. In the extracted word area, for example, related words not used in the content data 32 are highlighted as unused state display 48 by changing the style or font of the related words or by changing the background color.

[0033] The content generation processing unit 18 transmits generation guide information using the monitoring result screen 30 and the extracted word information 40 to the user terminal 6, and also provides it so that the user can check it on the information presenting unit 12 of the information processing device 4. Then, the user can use the monitoring result screen and generation guide information to modify and update the details of the content related to the related words.

[0034] <Generating extracted word information> Next, a specific process flow for collecting related words and generating extracted word information will be shown. Figures 4 and 5 show an example of the process for collecting related words and generating extracted word information. The configurations shown in Figures 4 and 5 are merely examples, and the technology of the present disclosure is not limited to such configurations.

[0035] When the information processing device 4 receives an instruction to generate extracted word information, for example, from a user terminal 6, it forms a processing area 50 in the related word extraction processing unit 16 and collects related words using the information supply means 20 in accordance with the theme words 52 obtained from the user terminal 6 and the specified collection conditions. In the related word collection process, as shown in Fig. 4, for example, related words are collected from the information supply means 20 based on the input theme word 52, and collection list information is generated. Here, a case is shown in which the collection process is performed by setting only one collection condition. The collection list information is composed of, for example, a word information section 54 used in the collection process, and a collection result section 56. In the first layer information collection process, a theme word is set in the word information section 54, and multiple related words A, B, ...X collected from the information supply means 20 are stored in the collection result section 56.

[0036] In the collection process of the second layer, the information processing device 4 uses the related words collected in the first layer to collect related words from the information supply means 20, and generates collection list information for each collection result. In other words, in the collection process from the second layer onwards, related words for the related words collected earlier are investigated and collected. As a result, in the collection process, a collection result unit 56 is generated according to a multiple of the number of layers of the collection process and the number of collected words. The information processing device 4 may execute the collection process according to a preset collection layer number condition, or the number of obtained related words, or other setting conditions such as a threshold value set for the number of occurrences of duplicated related words, which will be described later. The setting conditions may be preset in the related word collection unit 22 of the information processing device 4, for example, or the user may input a desired setting condition via the user terminal 6.

[0037] The information processing device 4 performs, for example, a collection trend analysis process on a plurality of collected related words. In this analysis process, for example, a case is shown in which the occurrence count of related words is used as evaluation value reference information for the collection trend. The information processing device 4 compares, for example, all collection result sections 56, extracts and groups identical related words, and then counts the occurrence count of each related word. Specifically, since related words A and X included in the first layer collection result section 56 are included in the second layer collection result section 56, these are designated as duplicate words M1 and M2, respectively, and an extraction area 57 is generated and stored. This extraction area 57 is an area in which the collection trend analysis process is performed, and is also an area in which a process for setting extracted words to be presented to the user is performed, and includes, for example, an extracted word information section 58 and an evaluation value information section 59.

[0038] The extracted word information section 58 is an example of an area in which related words are extracted from the collected related words, either overlapping in the same collection hierarchy or in different collection hierarchies, and stored. The evaluation value information section 59 is an example of an area in which an evaluation value set based on evaluation value reference information is stored. This evaluation value may be calculated based on setting information (not shown) for the evaluation value reference information, in addition to the case where evaluation value reference information such as the number of occurrences is used as is. That is, when setting the evaluation value, for example, an item with a large number of occurrences may be highly evaluated. In this evaluation value information section 59, for example, the number of occurrences may be used as an evaluation value, or information on the collection hierarchical level in which the word appeared may be used as an evaluation value instead of or in combination with the number of occurrences. That is, the information processing device 4 may prioritize keywords close to the theme word, which is the main keyword, and set a high evaluation for related words collected at an earlier level of the hierarchy. When setting an evaluation value by combining the number of occurrences and the number of collection hierarchical levels, the setting conditions described above may be used.

[0039] In addition, the evaluation value may be calculated by combining the collection hierarchies in which the overlapping related words appeared. In this case, for example, if there are overlapping related words in the first and third hierarchical collections, and overlapping related words in the second, fourth, and sixth hierarchical collections, the evaluation value may use factors such as the earlier appearance of the overlapping related words or the shorter interval between the collection hierarchies until the next appearance.

[0040] Furthermore, the analysis process of the collection tendency includes not only a case where common evaluation value reference information is used regardless of the collection condition of the related words, such as the number of occurrences, but also a case where evaluation value reference information specific to each of the collection conditions 1 to 4 is used. In this case, the evaluation value reference information includes, for example, an analysis based on the related words acquired by the information processing device 4, an analysis using information acquired by the information supply means 20, and an analysis of the collection tendency based on information presented by the information supply means 20.

[0041] As a specific example, when the information supply means 20 is a server that provides a search service, the number of times users input related words in a predetermined period, i.e., the number of searches, may be obtained from the server and used as the evaluation value reference information. In addition, in the case of collection condition 4, the information processing device 4 may obtain, for example, the advertisement placement fee of an advertisement displayed on a search result page associated with a keyword input in a search process. Then, in the process of analyzing collection trends, the advertisement placement fee may be compared directly between multiple overlapping related words, or the evaluation information calculated from the placement fee may be compared. In addition, in the case of collection condition 3, the information processing device 4 may collect, for example, location information where the theme word or related word appears, together with the number of occurrences of these keywords, for websites or contents listed in the search results. In collecting this location information, for example, information on the number of lines where the keywords appear, the top side, the center side, the bottom side, etc., are divided with respect to the overall structure of the website or content, or information on whether the keywords are written in tags such as headings or titles in the case of HTML format websites is collected. In addition, when the same related words are used multiple times in one piece of content, location information such as the range where the related words are concentrated or used frequently may be acquired. In the analysis process of the collection tendency, for example, multiple related words may be compared with each other, for example, by highly evaluating those that are included in the top side of the content or in the title tag.

[0042] The extracted words with high evaluation values ​​are those in which related keywords appear repeatedly and recursively, are words entered in search processing by general browsing users who use the information supply means 20 for search services, etc., and are evaluated as having a high degree of relevance to the initially set theme word. In other words, it can be inferred that the extracted words are related words that have a high degree of interest, concern, preference, and trendiness for the theme word.

[0043] The extracted word information generation unit 24 then extracts some or all of the extracted words stored in the extracted word information unit 58 based on extraction conditions preset for the generated extraction area 57. The extraction conditions may specify, for example, that a predetermined number of words with high evaluation values ​​be extracted.

[0044] In addition, in the process of generating extracted word information, for example, as shown in Fig. 5, related words may be collected for one theme word under a plurality of different collection conditions, and the collected results may be combined to generate extracted word information. In this case, the information supply means 20 is not limited to a single search service, for example, and different types of information supply means 20 may be used in combination depending on the collection conditions.

[0045] In this related word collection process, for example, as the first information collection process I, related words are collected for each collection condition 1, 2, ...N for the set theme word, and the collected multiple related words A, B, ...X are stored in each collection result section 56. In the next-level collection process II, the information processing device 4 collects related words from the information supply means 20 using each of the related words collected in the previous level as a search word, and generates collection list information. The information processing device 4 repeatedly executes the collection process for the next related words by using the previously collected related words.

[0046] The information processing device 4 performs collection tendency analysis processing, for example, by comparing all collection result sections 56, grouping related words that appear in duplicate, and counting the number of occurrences. The extracted word information generating section 24, for example, generates an extraction area 57 and stores duplicate words M1, M2, ... (FIG. 4), and then performs evaluation processing for each related word stored in the extraction area 57 and stores evaluation information in the evaluation value information section 59. This evaluation processing may set an evaluation value based on a common evaluation criterion for keywords that are collected under the same collection conditions and that are duplicated, or may perform evaluation processing based on evaluation criteria and evaluation values ​​that are weighted and set for each collection condition for related words that are collected under different collection conditions.

[0047] The weighting of the evaluation criteria and evaluation values ​​is correction information for correcting the differences between the evaluation processes and evaluation targets of collection conditions, for example. When the number of occurrences is used as the evaluation target, the number of occurrences using collection condition 1, which is a keyword used for re-searching, and collection condition 2, which is a term used in a website, differ greatly, so that it may be difficult to properly determine the total number of occurrences by a simple addition process of the evaluation values. Therefore, in the evaluation process, for example, the counting unit for collection conditions with a large number of occurrences, or the evaluation of the number of occurrences for collection conditions with a small number of occurrences, may be adjusted. In this adjustment of the evaluation of the number of occurrences, for example, when a collection process is performed by combining a collection condition with a large number of occurrences and a collection condition with a small number of occurrences, the setting unit of the evaluation value may be different for each collection condition. That is, for collection conditions with a large number of occurrences, the evaluation value for the number of occurrences in one layer may be made small, or conversely, for collection conditions with a small number of occurrences, the evaluation value for the number of occurrences in one layer may be made large. In this way, by adjusting the evaluation criteria based on the number of occurrences, it is possible to prevent the evaluation value of related words from being set based only on the results of collection conditions that have a high number of occurrences. In adjusting the evaluation, for example, an adjustment method may be set for each of collection conditions 1 to 4 set for collecting related words, or an adjustment method may be set according to a combination of collection conditions.

[0048] <About content generation processing> Fig. 6 shows an example of a content generation process. The process contents and process procedures shown in Fig. 6 are merely examples, and the technology of the present disclosure is not limited to such configuration. This content generation process is an example of a content generation method and a content generation program of the present disclosure. The information processing device 4 performs a process of generating extracted word information based on a request from the user terminal 6 (S101), and provides the generated extracted word information to the user (S102). This providing process may be performed, for example, by displaying the information on a monitor constituting the information presentation unit 12 of the information processing device 4, or by transmitting data to the user terminal 6.

[0049] When the information processing device 4 reads content data that is automatically generated by the content generation processing unit 18 or obtained from the user terminal 6 or an external generation means (S103), it performs a process of comparing the extracted word information with the content data (S104) and performs a process of monitoring whether or not related words included in the extracted word information are used in the content. Then, as a result of this comparison process, the information processing device 4 generates a related word monitoring result and content generation guide information based on this monitoring result (S105). Then, the information processing device 4 presents the monitoring result and the content generation guide information to the user (S106). The related word monitoring result includes, for example, a monitoring result screen 30 that displays related words in the content data 32. Also, the generation guide information includes, for example, extracted word information 40 that displays only unused related words.

[0050] <Generating extracted word information> Fig. 7 shows an example of a process for generating extracted word information. The process shown in Fig. 7 is a sub-flowchart of S101 in Fig. 6, and the process contents and process procedures are merely examples, and the technology of the present disclosure is not limited to such a configuration. In this process for generating extracted word information, for example, the process contents are divided into a related word collection process F1 and a keyword extraction process F2.

[0051] When the information processing device 4 sets collection conditions input from the user terminal 6 as the related word collection process F1 (S201), it accesses the information supply means 20 according to the collection conditions (S202). The information processing device 4 acquires theme words that are the subject of the related word investigation from the user terminal 6 (S203), performs the related word collection process using the theme words and related words acquired in the previous layer of the collection process (S204), and records the related words, etc. (S205). The collected related words may be stored in the processing area 50 for executing the keyword extraction process F2, for example, or may be stored in a database formed in the storage unit 10. In addition, in this collection process, the date and time of collection, information for identifying the information supply means 20, and other information such as the number of occurrences of the same related word may be recorded together with the related words.

[0052] The information processing device 4 checks the set conditions for the related word collection process, such as the number of collection processes or the number of occurrences of overlapping related words, and determines whether the set conditions are met (S206). The information processing device 4 repeatedly executes the related word collection process (S204, S205) until the set conditions are met (NO in S206), and when the set conditions are met (YES in S206), it proceeds to keyword extraction process F2.

[0053] For example, as a keyword extraction process F2, the information processing device 4 counts the number of occurrences of the collected related words, selects and stores overlapping related words in the extraction area 57, and also sets an evaluation value for each related word using information on the number of occurrences and collection hierarchy, and executes an analysis process including ranking (S207). Then, the extracted word information generating unit 24 extracts one or more related words stored in the extraction area 57 based on extraction conditions such as the number of occurrences and rank order, and generates extracted word information (S208). This extracted word information may include evaluation values ​​such as theme words and number of occurrences, and identification information of the information supply means used for collection, in addition to the extracted related words.

[0054] [Advantages of the First Embodiment] According to this configuration, one of the following effects can be obtained. (1) By incorporating multiple related words into the content that match the preferences and trends of network users, it is possible to create and update highly rated content, which will increase the number of hits to the content. (2) When creating content, the use of collected related words can be monitored, and the monitoring results and related words that have been collected but not used can be presented, thereby reducing the time and workload required for creating content and checking the content. (3) By generating guide information for collected keywords, including information for identifying missing keywords and encouraging their use, along with the results of monitoring the usage status within the content, and providing the information to users, the speed at which content can be generated and updated can be increased and the impact of factors such as keyword popularity can be reduced when content is released. Second Embodiment

[0055] Fig. 8 shows the configuration of a content generation system according to the second embodiment. The configuration shown in Fig. 8 is an example, and the technology of the present disclosure is not limited to such a configuration. In Fig. 8, the same parts as those in Figs. 1 and 2 are denoted by the same symbols, and their description will be omitted.

[0056] In this content generation system 60, compared to the content generation system 2 of the first embodiment, the content generation processing unit 18 of the processing unit 14 is configured to not only monitor the usage status of related words, but also to determine that unused related words are related words that are missing for the content, and to execute a process of generating content supplement information that utilizes the missing related words. This information processing device 4 has, for example, a monitoring processing unit 19 within a content generation processing unit 18, and has a function of storing content data 32 acquired from a user and creating content supplementary information 70 using missing related word information 66 and content type information 68 within the monitoring processing unit 19.

[0057] The monitoring processing unit 19 is an example of a functional unit that grasps the structure and content of content automatically generated by the content generation processing unit 18 or obtained from the user terminal 6 or an external generation means, and monitors whether the related words in the extracted word information provided to the user are being used appropriately or sufficiently, while at the same time collecting any missing related word information 66 and obtaining content type information 68. The content data 32 is content data that is input into the information processing device 4 by the user via the user terminal 6 or an external generating means (not shown), or that is automatically generated within the information processing device 4. The missing related word information 66 is, for example, information collected in parallel with the monitoring process of the usage status of related words, and includes one or more related words that were not used in the content among the related words in the extracted word information.

[0058] The content type information 68 is an example of information showing an example of the internal structure of the content, for example, information indicating the type of the content, such as that the content is composed of articles or blogs mainly composed of text, or that the content is mainly composed of videos or images. This content type information may be obtained by, for example, analyzing the internal structure of the loaded content data 32 by the monitoring processing unit 19, or the user may input and set information such as the content type when the content data 32 is loaded. The content supplement information 70 is an example of content generation guide information of the present disclosure, and includes information for supplementing the content data 32 with missing related words.

[0059] <About content creation guide information> FIG. 9 shows content creation guide information. The content generation processing unit 18 of the information processing device 4 generates, for example, a content complemented screen 72 or another content complemented screen 76 as content generation guide information. The content complemented screen 72 is an example of content complement information 70. On the content completion screen 72, as shown in, for example, A of Figure 9, a usage status display 34 is set for a portion of the content data 32 as a monitoring result of the usage status of related words, and completion position information 74 indicating the input position within the content together with missing related word information 66 is set. In addition, on the content completion screen 76, as shown in, for example, B of FIG. 9, complementary guide information 78 consisting of documents, images, videos, etc. generated using the missing related word information 66 is set for a portion of the content data. The complementary position information 74 and complementary guide information 78 are set by the content generation processing unit 18, for example, based on the content and structure of the content data 32, as well as information such as the presentation order and evaluation value of the missing related word information 66 in the extracted word information. The information processing device 4 may automatically generate content such as documents, images, and videos related to the content data 32 based on the missing related words, for example, and may collect content related to the same or related theme words or related words, or use content adjusted using the collected data. In addition, the information processing device 4 may use AI (not shown) to specify theme words or related words and use them as content complementary information 70 generated.

[0060] <About content generation processing> Fig. 10 shows an example of a content generation process. The process contents and process procedures shown in Fig. 10 are merely examples, and the technology of the present disclosure is not limited to such configuration. This content generation process is an example of a content generation method and a content generation program of the present disclosure. The information processing device 4 performs a process of generating extracted word information (S301) and a process of monitoring content data (S302) based on a request from, for example, the user terminal 6. The process of generating extracted word information (S301) may be similar to the process steps S101 and S201 to 208 already described in Fig. 7 etc., and therefore a description thereof will be omitted. Furthermore, the process of monitoring content data (S302) may be similar to the process steps S102 to S104 already described in Fig. 6 etc., and therefore a description thereof will be omitted.

[0061] When the information processing device 4 completes the monitoring process of the usage state of the collected related words for the content data, it determines whether there is a content complement instruction from the user (S303). If there is a complement instruction (YES in S303), the information processing device 4 reads the missing related word information 66 and the content data 32 by the content generation processing unit 18 (S304), generates content complement information 70 (S305), and presents it to the user (S306). In generating the content complement information 70, for example, article data that complements the content stored in the storage unit 10, article data from an external website, and other complement information created using external AI, etc. are used to generate content complement screens 72, 76, etc.

[0062] The information processing device 4 determines whether there is a content update instruction from the user (S307), and if there is an update instruction (YES in S307), updates the content data in accordance with the instruction from the user terminal 6 (S308). In this update process, for example, if there is an update instruction for the presented content complement screens 72, 76, the contents of the content complement screens 72, 76 can be updated as content data. For example, if there is no update instruction from the user (NO in S307), the information processing device 4 returns to S303 and judges whether there is a content complement instruction. If there is no update instruction, it may be judged that the content complement information 70 such as the presented content complement screens 72, 76 was not adopted by the user or that update processing is not necessary.

[0063] Then, when the information processing device 4 receives an instruction to complete the content creation from the user (S309), the content creation process ends. Furthermore, if there is no instruction to complete the content (NO in S303), the information processing device 4 judges whether the user has updated the content (S310). For example, if the content has been updated (YES in S310) regardless of whether there is an instruction to complete the content, the information processing device 4 returns to S302, performs a monitoring process on the updated content data, and monitors the usage status of the extracted related words. Furthermore, if the user has not updated the content (NO in S310), the information processing device 4 proceeds to S309 and waits for an instruction to complete the content creation process.

[0064] [Effects of the second embodiment] According to this configuration, any one of the following effects can be obtained. (1) The same effects as in the first embodiment can be obtained. (2) As guide information for content generation, the system can present missing related words as well as the positions where those related words should be inserted, and can automatically generate and present complementary content information such as articles and videos that use those related words, thereby reducing the workload of creating and updating content. (3) By providing and automatically generating complementary information for content, it becomes possible to rapidly create and update content, including content correction, and to generate content that responds to changes in the tastes and trends of network users.

[0065] Third embodiment Fig. 11 shows a configuration example of a content generation system according to the third embodiment. The configuration shown in Fig. 11 is an example, and the technology of the present disclosure is not limited to such a configuration. In Fig. 11, the same parts as those in Figs. 1, 2, 8, etc. are denoted by the same symbols, and the description thereof will be omitted.

[0066] In this content creation system 80, the content generation processing unit 18 of the information processing device 4 is provided with a conversion processing unit 82 that converts the data format of the content, in contrast to the above-mentioned content generation systems 2 and 60. The conversion of the data format of the content is an example of a process for comparing the content data generated by the user with the related word information included in the extracted word information, for example, when the content data is mainly composed of something other than text. That is, in the monitoring process, for example, when the related words mainly composed of text are compared with the content data mainly composed of videos and images, even if they are directly compared, there is a possibility that the monitoring result for all or a part of the content cannot be generated. Therefore, in the information processing device 4, the conversion processing unit 82 converts a part or all of the content data 32 into information that can be compared with the related words. For example, if the content is a video, this conversion process may involve converting the contents of the audio or content into text, or reading subtitle data in text format by executing a browser or video playback program included in the content data or that plays the content. In addition, as other conversion processes, the information processing device 4 may include, for example, a method of reading descriptions explaining the content represented in videos or images, as well as investigating websites on the network that contain the same or similar videos or images, and obtaining text data such as descriptions written on those websites.

[0067] When the conversion processing unit 82 generates content information that can be compared with related words, such as text data, from the content data 32, the monitoring processing unit 19 generates monitoring results that indicate related words used in the content, and extracts missing related word information 66 and content type information 68. Then, the information processing device 4 generates at least the content information, missing related word information 66, content type information 68, and content supplement information 70 in the content generation processing unit 18, and presents them to the user terminal 6. The content supplement information 70 may generate content supplement screens 72, 76, for example, as shown in FIG. 9 described above. Furthermore, when the user has not issued an instruction to supplement the content, for example, the information processing device 4 may compare the content information with the extracted word information, and present the related word monitoring results and extracted word information 40 (FIG. 3) in which unused related words are marked with unused state indicators 48.

[0068] <About content generation processing> Fig. 12 shows an example of a content generation process. The process contents and process procedures shown in Fig. 12 are merely examples, and the technology of the present disclosure is not limited to such configuration. This content generation process is an example of a content generation method and a content generation program of the present disclosure. The information processing device 4 performs a process of generating extracted word information (S401) based on, for example, a request from the user terminal 6. The process of generating extracted word information (S401) may be the same as the process step S301 described above with reference to FIG.

[0069] When the information processing device 4 provides the generated extracted word information to the user (S402), it reads the content data 32 (S403) and judges whether the content data 32 and the extracted word information can be compared (S404). In this judgment process, for example, it judges whether the data formats are the same, or whether there is relevance or compatibility. If the information processing device 4 judges that the content data 32 and the extracted word information cannot be compared (NO in S404), it executes the conversion processing unit 82 to convert the content data 32 into a specific data format, or to perform processing to extract the contents of the content, such as reading subtitles or descriptions of the content, or acquiring external data (S405), and generates content information (S406). The information processing device 4 compares the extracted word information with the content information (S407). Also, if the content data and the extracted word information 40 can be compared (YES in S404), the information processing device 4 performs a similar comparison process (S408).

[0070] Then, the information processing device 4 generates generated guide information including monitoring results that identify related words that are being used, extracted word information 40 that identifies related words that are not being used, and content supplementary information 70 that utilizes related words that are missing in the content in place of or in addition to this extracted word information 40 (S409), and presents the generated monitoring results and generated guide information to the user (S410).

[0071] In this embodiment, the conversion processing unit 82 converts the content data into a data format that can be compared with the extracted word information. However, the extracted word information may be converted into a data format that can be directly compared with the content data.

[0072] [Advantages of the third embodiment] According to this configuration, any one of the following effects can be obtained. (1) The same effects as those of the first and second embodiments can be obtained. (2) By converting either the content data or the extracted word information into a comparable state by the conversion processing unit 82, it becomes possible to generate content that can be used for search processing, etc., based on the preferences and trends of network users for content of various data formats. (3) By providing the information processing device 4 with a data conversion function, it becomes possible to effectively use the collected related words in the process of correcting or updating the content data in response to the monitoring results. [Modifications]

[0073] The features and modifications of the above-described embodiment will be listed below.

[0074] (1) In the above embodiment, when all of the related words included in the extracted word information are not used in the process of comparing the extracted word information with the content, the unused related words are indicated in the monitoring result or the generated guide information and presented to the user, but the present invention is not limited to such a configuration. In this monitoring process, for example, in response to a monitoring result indicating that some of the related words in the extracted word information are not used, the unused state display 48 is indicated in the extracted word area 42 of the extracted word information 40 as guide information. However, based on a set condition, the unused state display 48 may not be indicated when some of the related words are not used. Specifically, for example, if a predetermined number of related words, for example, 10, are used in the content for the extracted word information 40, it may not be determined that there is a shortage of related words, and the unused state display 48 may not be displayed. In addition, for example, the set condition may utilize an evaluation value set in collecting related content or generating the extracted word information 40, and the evaluation value may be monitored to be used preferentially and at a minimum if it is above a threshold value (high rank), and the evaluation value below the threshold value may be displayed with a warning or the like.

[0075] (2) In the above embodiment, the content generation processing unit 18 monitors whether the extracted related words are used in the content and presents the monitoring results to the user, but the present invention is not limited to such a process. The content generation processing unit 18 may, for example, count the number of times each related word is used in the content and present the result to the user. In addition, the content generation processing unit 18 may, for example, set a threshold value for the number of times a related word is used in advance, and if a related word is not used at or above the threshold value, notify the user of that fact. This threshold value may be increased or decreased for each related word depending on the level of attention on the network, and this level of attention may be determined based on an evaluation value set when the extracted word is generated.

[0076] (3) In addition to the process of (2) above, the information processing device 4, for example the content generation processing unit 18, may evaluate the position, number of times, concentration, frequency, etc. of the use of related words in the content, and present the evaluation information to the user. That is, for example, the content generation processing unit 18 may analyze and evaluate whether or not the number of related words with high attention such as evaluation values, or the frequency of appearance, is effective in the beginning or main part of the content composed of text. Then, for example, if the content generation unit evaluates that the use of related words is inappropriate even if they are used, it may generate the position of use of the related words or documents containing the related words as content generation guide information and present it to the user.

[0077] (4) In the above embodiment, an example was given in which related words were collected from one information supply means 20 in response to a keyword collection condition, and an example was given in which related words were collected under a plurality of different collection conditions, but the present invention is not limited to this. The information processing device 4 may collect related words from a plurality of different search services using the same theme word and common collection conditions, for example, and generate extracted word information by analyzing the collection tendency. In this case, the evaluation value may be calculated by setting a weight on the collection results for each information supply means 20 based on the user's settings or information such as the number of users of the search service. Specifically, a large evaluation value may be set for related words collected by a search service with a large number of users. This makes it easier to reflect the preferences, trends, and information needs of browsing users, which means a large number of users, and improves the accuracy of extracting keywords that are easier for users to search.

[0078] As described above, the preferred embodiments and examples of the present invention have been described. The technology of the present disclosure is not limited to the above description. Based on the gist of the invention described in the claims or disclosed in the description for carrying out the invention, those skilled in the art can make various modifications and changes. It goes without saying that such modifications and changes are included in the technical scope of the present disclosure. [Industrial Applicability]

[0079] According to the content generation process of the present disclosure, by monitoring whether related words collected by a search means or the like are used sufficiently within the content, and presenting generation guide information including a lack of related words and complementary information for content including the missing related words, it is possible to facilitate and speed up the generation of content that is highly compatible with search processing and in line with the interests and needs of network users, which is useful. [Explanation of symbols]

[0080] 2, 60, 80 Content Generation System 4. Information processing equipment 6 User terminals 8. Communications Department 10 Storage section 12 Information presentation section 14 Processing section 16 Related word extraction processing section 18 Content generation processing unit 19 Monitoring processing section 20 Information supply means 22 Related Word Collection Department 24 Extracted word information generation unit 30 Monitoring results screen 32 Content Data 34, 46 Usage status display 40 Extracted word information 42 Extracted Word Area 44 Evaluation Value Area 48 Unused status indicator 50 Processing Areas 52 Theme Words 54 Word Information Department 56 Collection Results Section 57 Extraction area 58 Extracted Word Information Section 59 Evaluation Value Information Section 66 Missing related word information 68 Content Type Information 70 Content supplement information 72, 76 Content Complement Screen 74 Complementary location information 78 Complementary Guide Information 82 Conversion Processing Section

Claims

1. 1. A computer-implemented method for generating content, comprising: A process in which a processing unit of the computer collects a plurality of related words based on a theme word set by a registered user, and provides extracted word information generated using the related words based on an extraction condition to the user; storing the extracted word information in a storage unit; a step of the processing unit comparing the content generated based on the extracted word information with the extracted word information stored in the storage unit, and monitoring whether or not the related words included in the extracted word information have been used in the content; a step of the processing unit generating, together with a monitoring result, generation guide information for the content using unused related words in the extracted word information, and presenting the generated guide information to the user; A content generating method comprising:

2. a step of performing, by the processing unit, one or both of a process of making the related words in the content clearly visible and a process of making the unused related words in the extracted word information clearly visible; 2. The content generating method according to claim 1, further comprising: presenting the content clearly indicating the related words or the extracted word information to the user as the monitoring result.

3. a step of the processing unit automatically creating the content by using a part or all of the related words included in the extracted word information, or acquiring the content from a user terminal or an external automatic generation means through a network; 3. The content generating method according to claim 1, further comprising:

4. a step of generating content information by converting a data format of the captured content or extracting details of the content by the processing unit; 3. The method for generating content according to claim 1, further comprising: using the content information for comparison with the extracted word information.

5. a step of the processing unit generating content complement information using the unused related words or acquiring the generated content complement information; 3. The content generating method according to claim 1, further comprising the step of: presenting the generation guide information including a complementary position within the content together with the content complementary information.

6. A function of collecting a plurality of related words based on a theme word set by a registered user and generating extracted word information using the related words based on extraction conditions; a function of providing the extracted word information to the user; a function of comparing the content generated based on the extracted word information with the extracted word information stored in a storage unit, and monitoring whether the related words included in the extracted word information have been used in the content; a function of generating a guide for generating the content using unused related words in the extracted word information together with the monitoring result, and presenting the guide for generating the content to the user; A content generation program that causes the computer to execute the above steps.

7. A function of performing either or both of a process of indicating the related words in the content or a process of indicating the unused related words in the extracted word information; a function of presenting to the user, as the monitoring result, the content in which the related words are clearly indicated or the extracted word information; The content generating program according to claim 6 , which causes the computer to execute the steps of:

8. a function of automatically creating the content by using a part or all of the related words included in the extracted word information, or acquiring the content from a user terminal or an external automatic generation means via a network; 8. The content generating program according to claim 6, which causes the computer to execute the steps of:

9. A function of converting the data format of the imported content or generating content information by extracting the details of the content; A function of comparing the content with the extracted word information using the content information; 8. The content generating program according to claim 6, which causes the computer to execute the steps of:

10. A function of generating content complement information using the unused related words, or acquiring the generated content complement information; a function of presenting the generation guide information including a complement position within the content together with the content complement information; 8. The content generating program according to claim 6, which causes the computer to execute the steps of:

11. a related word extraction processing unit that collects a plurality of related words based on a theme word set by a registered user, generates extracted word information using the related words based on an extraction condition, and provides the extracted word information to the user; a storage unit that stores the extracted word information in association with user information; a content generation processing unit that compares the content generated based on the extracted word information with the extracted word information, monitors whether the related words included in the extracted word information have been used in the content, generates a content generation guide information for the content using unused related words in the extracted word information together with the monitoring result, and presents the generated guide information to the user; An information processing device comprising:

12. the content generation processing unit performs one or both of a process of making the related words in the content clearly visible and a process of making the unused related words in extracted word information clearly visible; The information processing apparatus according to claim 11, wherein the content in which the related words are clearly indicated or the extracted word information is presented to the user as the monitoring result.

13. The information processing device according to claim 11 or 12, characterized in that the content generation processing unit automatically creates the content using some or all of the related words contained in the extracted word information, or obtains the content from a user terminal or an external automatic generation means via a network.

14. 13. The information processing device according to claim 11, wherein the content generation processing unit generates content information by converting a data format of the imported content or by extracting details of the content, and uses the content information for comparison with the extracted word information.

15. 13. The information processing device according to claim 11, wherein the content generation processing unit generates content complement information using the unused related words, or acquires the generated content complement information, and presents the generation guide information including a complement position within the content together with the content complement information.

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