Information processing method, program therefor, and apparatus therefor

Abstract

To collect and analyze structure information of other content to provide a result of analysis thereof for contribution in faster and easier processing for generating content having epidemicity and palatability.SOLUTION: The present invention is directed to an information processing method executed by a computer (an information processing apparatus 4). The method has the steps at which: an information collecting unit (16) collects content data from one or both of content designated by a user and content investigated on a network through a predetermined information source based on investigation conditions set by the user; an information processing unit (18) analyzes the content data to extract at least a specific word forming the content and structure information of the content and generates an information presentation screen (40) including the specific word and the structure information; and a presentation unit (an information presentation unit 12) presents the information presentation screen to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology disclosed herein relates to a technology for analyzing information used in acquired content and providing the analysis results to a user. [Background technology]

[0002] Network users search using keywords that correspond to their individual purposes, and then use the search results to access websites. In this process, users tend to access well-known websites or websites that appear at the top of the search results list. In this search process, the results are greatly influenced by factors such as the number of visits to a website, the content it offers, and its structure. In other words, in addition to content that is in line with the user's preferences and interests, other important factors include the number of headings, the number of characters, and the length of articles, which make the content easy to understand.

[0003] Website creators who create, update, and manage content can create content that is aligned with the themes users are looking for if they can understand the information about content that ranks highly in search results. Therefore, researching and examining the content provided by websites that rank highly in search results is an important task in order to understand user needs.

[0004] Regarding the investigation of such content information, there is a method known that searches documents in a database, extracts co-occurring words and query words with a specific word, calculates and displays the relevance of phrases containing those words, and makes it easy for users to understand whether the content of the document is what they are looking for (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2006-139484 Summary of the Invention [Problem to be solved by the invention]

[0006] Website administrators and content creators aim to increase page views and improve searchability by understanding the content and fields of interest to content users and creating content that meets their needs. However, because user interests and trends change quickly, conducting detailed surveys is difficult, and constantly tracking and researching changes in user interests and trends requires a huge amount of effort. Furthermore, in order to keep up with these changing interests and trends and encourage users to view content, it is desirable to generate and update content as quickly as possible, without spending a lot of time and effort on research, and to make it available as soon as possible.

[0007] In response to this problem, the inventors of the technology disclosed herein have discovered that in addition to keywords featured in content with high views and searchability, the structure of that content also influences user interests and popularity, and that obtaining information about the structure of this content can be used to generate content that will attract users' interest.

[0008] Therefore, in view of the above-mentioned problems, the purpose of the technology disclosed herein is to contribute to speeding up and facilitating the process of generating content that is in line with trends and preferences by collecting and analyzing structural information of other content and providing the analysis results. [Means for solving the problem]

[0009] In order to achieve the above-mentioned object, one aspect of the information processing method of the present disclosure is an information processing method executed by a computer, which includes a step in which an information collection unit collects content data from one or both of content specified by a user and content researched on a network through a specified information source according to research conditions set by the user; a step in which an information processing unit analyzes the content data to extract at least specific words that constitute the content and content constituent information, and generates an information presentation screen for each piece of content that includes the specific words and the content constituent information; and a step in which a presentation unit presents the information presentation screen to the user.

[0010] The above information processing method further includes a step in which the information processing unit selects selected keywords from the extracted specific words based on selection conditions, and presents the selected keywords on the information presentation screen. In the above information processing method, the information processing unit may determine the degree of relevance by comparing the extracted specific words with the search conditions or the set exclusion conditions, and may generate the information presentation screen by excluding from the specific words specific words whose degree of relevance with the search conditions is less than a predetermined threshold, or whose degree of relevance with the exclusion conditions is equal to or greater than a predetermined threshold.

[0011] In order to achieve the above-mentioned objective, one aspect of the information processing program disclosed herein causes a computer to perform the following functions: collect content data from either or both of content specified by a user or content researched on a network through a specified information source based on research conditions set by a user; analyze the content data to extract at least specific words that make up the content and content composition information, and generate an information presentation screen for each piece of content that includes the specific words and the composition information; and present the information presentation screen to the user.

[0012] The information processing program further causes the computer to execute a function of selecting selected keywords from the extracted specific words based on selection conditions, and presenting the selected keywords on the information presentation screen. In the above information processing program, the computer is caused to execute a function of determining the degree of relevance by comparing the extracted specific words with the search conditions or the set exclusion conditions, and a function of excluding from the specific words specific words whose degree of relevance with the search conditions is less than a predetermined threshold, or specific words whose degree of relevance with the exclusion conditions is greater than or equal to a predetermined threshold, and generating the information presentation screen. In the above information processing program, the computer is caused to execute a function of generating, for each content, an information presentation screen including a first information presentation area that presents the extracted specific words according to priority information set in the configuration information of the content, and a second information presentation area that presents the selected keywords.

[0013] In order to achieve the above-mentioned object, one aspect of the information processing device of the present disclosure includes an information collection unit that collects content data from either or both of content specified by a user or content researched on a network through a specified information source according to research conditions set by the user; a memory unit that stores the content data in association with the research conditions; an information processing unit that analyzes the content data to extract at least specific words that constitute the content and content composition information, and generates an information presentation screen for each piece of content that includes the specific words and the composition information; and an information presentation unit that presents the information presentation screen to the user. [Effects of the Invention]

[0014] According to the present invention, any of the following effects can be obtained.

[0015] (1) By obtaining and presenting to users the documents and specific terms that represent the content of the targeted content of others, as well as the configuration information of that content, the time and workload required for users to generate content can be reduced. (2) By collecting information on the number of hits and the content that is popular, as well as the composition of that content, and presenting it to users, it is possible to use this information to generate content that meets the needs and interests of network users. (3) When creating content, the workload of researching information on popular topics can be reduced. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a diagram illustrating an example of the configuration of a content information collecting system according to a first embodiment. [Figure 2] FIG. 10 is a diagram illustrating another example of the configuration of the content information collecting system. [Figure 3] 10A and 10B are diagrams illustrating an example of a content data analysis process and a process of extracting specific words and the like. [Figure 4] FIG. 10 is a diagram illustrating an example of the configuration of an information presentation screen. [Figure 5] 10 is a flowchart illustrating an example of content information collection processing. [Figure 6] FIG. 10 is a diagram illustrating an example of the configuration of a content information collecting system according to a second embodiment. [Figure 7] 10 is a flowchart illustrating an example of content information collection processing. [Figure 8] 10 is a flowchart illustrating an example of content information collection processing according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0017] [First embodiment] Fig. 1 shows a content information collection system according to a first embodiment. Fig. 2 shows another configuration example of a content information collection system. The configurations shown in Figs. 1 and 2 are examples, and the technology of the present disclosure is not limited to such configurations. In Figs. 1 and 2, common components are denoted by the same reference numerals.

[0018] The content information collection system 2 has a function of extracting and providing specific words from content provided on other websites and information about the composition of that content to users who are creators of content related to a specific theme. A specific word is an example of information that represents the content of content that is composed of documents, images, videos, or other formats. For example, it may be a word that represents the theme or title used in the content, a heading that subdivides the content, or a word that includes co-occurring words or other keywords that are frequently used in the content. This specific word may be, for example, a single or multiple documents, or a keyword of a predetermined length. Furthermore, the content configuration information may include information such as the address and number of characters of the content, as well as the arrangement order of the specific words included in the content, priority information for setting them as specific words, and the update date of the content.

[0019] The content information collection system 2 shown in Figure 1 includes, for example, an information processing device 4 and a user terminal 6, which transmit and receive information via a network such as the Internet. This content information collection system 2 accesses, for example, a specific website or content specified by the user, and also reads content information collected by other means (not shown) to collect information on specific words and content configuration information. This content information includes content data provided by the user as well as address information specifying the specific website or content. In addition, the content information collection system 2 shown in Figure 2 acquires data on one or more websites and the content provided thereon, for example, using an information supply means 20, which is an example of an external information source, and collects information on specific words and content constituent information from this acquired data.

[0020] <About the information processing device 4> The information processing device 4 may be, for example, a PC (Personal Computer) connectable to a network, or a server device that publishes or manages content on a network. The information processing device 4 includes a communication unit 8, a storage unit 10, an information presentation unit 12, and a processing unit 14 to realize, for example, a content data acquisition function, a process for extracting specific words and constituent information from content data, and a process for presenting information about specific words and constituent information.

[0021] The communication unit 8 is connected via a network to the user terminal 6 to be used and to information supply means 20 (FIG. 2) that searches for websites and content based on the search conditions. The storage unit 10 stores, for example, collected content data, specific words extracted from this content data, and content configuration information. In addition, the storage unit 10 stores registration information such as user information, as well as programs such as the information processing program disclosed herein and an OS (Operating System) for operating the information processing device 4. The storage unit 10 may be configured, for example, with a ROM (Read Only Memory) or a non-volatile memory. The information presentation unit 12 is an example of a means for presenting an information presentation screen generated using the extracted specific words and content configuration information. The information presentation unit 12 displays the information presentation screen so that it can be viewed by the user on the monitor of the information processing device 4, for example, and may also be combined with the communication unit 8 to transmit data of the information presentation screen to the user terminal 6.

[0022] The processing unit 14 is an example of a functional unit that collects and analyzes content data, extracts specific words and content configuration information from the content data, and presents the extracted information to the user. The processing unit 14 executes an information processing program in cooperation with, for example, the processor and RAM (Random Access Memory) of the information processing device 4, and has an information collection unit 16 and an information processing unit 18.

[0023] The information collection unit 16 is a functional unit that collects content data from content set as a research target. The information collection unit 16 extracts content data based on, for example, extraction conditions specified from the user terminal 6. When researching content through the information supply means 20, the information collection unit 16 collects one or more pieces of content using the research conditions specified from the user terminal 6, and then extracts content data based on the extraction conditions. The content data includes, for example, articles, videos, and images within the content, as well as tag information for creating HTML-formatted websites. The content information collection system 2 may extract content data from content information set by the user (as shown in FIG. 1) or from content information collected by the external information supply means 20 (as shown in FIG. 2), or both. The content data extraction conditions include, for example, subject information such as theme words designated by the user.

[0024] The information processing unit 18 is an example of a functional unit that extracts specific words and content configuration information from content data and generates an information presentation screen that presents this information to the user. Furthermore, the information processing unit 18 compares the specific data or content data of a specific piece of content or multiple pieces of content, for example, and extracts keywords from the comparison results based on extraction criteria. These extraction criteria may be based on, for example, frequency of appearance, or whether the keywords are collected and used within a specific range. In this way, the information processing unit 18 extracts, for example, frequently used keywords. These frequently used keywords are included in the specific words described above.

[0025] <About User Device 6> The user terminal 6 is a terminal device used by a user who uses the information processing device 4 to search for content related to specific theme words and issue instructions to obtain the specific words contained in the content and the content's configuration information, and is composed of a computer with information input, communication, and information display functions, such as a PC or a mobile terminal device. This user is someone who operates and manages websites and creates content using the specific words and configuration information obtained based on the theme words. The user terminal 6, for example, registers terminal information and user identification information with the information processing device 4, and provides search conditions including keywords for searching content, extraction conditions for collecting content data and specific words, and the like. The user terminal 6 receives, for example, from the information processing device 4, an information presentation screen including the specific words and the configuration information of the content.

[0026] <Extraction of specific words and content configuration information> 3 is a diagram showing an example of a content data analysis process and a process of extracting specific words, etc. The process contents shown in FIG. This content data 21 may include, for example, as shown in A of Figure 3, either a text area 22 consisting of documents based on a specific theme, or a non-text area 24 consisting of non-text format such as videos or images. The information processing unit 18 analyzes the acquired content data 21 and extracts specific words 26, such as document titles and headings, from the text area 22. In this analysis, if the content data 21 is in HTML format, for example, the specific words 26 may be determined based on the "TITLE" tag set as tag information or the "h tag," which is setting information for displaying the specific words as "headings" within the content. Alternatively, the analysis may compare text within a specified range, and determine the "title" or "heading" based on the size, color, and presence or absence of decoration, and extract the specific words. Furthermore, the information processing unit 18 extracts tag information in HTML format, for example, as content configuration information. This configuration information may also include information on the number of characters counted throughout the entire content data 21 or within a specified range, update date and time information, and "description" information that summarizes the content.

[0027] Furthermore, the information processing unit 18 extracts specific words and content configuration information from the non-text area 24 using an analysis process that corresponds to the format of the target content data 21. For example, if the non-text area 24 is composed of a video, the information processing unit 18 may convert the video content into text using a program that reads the content of the video or artificial intelligence (AI), or may extract words that correspond to the specific words directly from the read content. Additionally, the information processing unit 18 may extract titles, headings, etc. from explanatory information set in association with the video or image as specific words for the non-text area 24.

[0028] 3B, the storage unit 10 has a database (DB) 30 that stores the specific words 26 extracted by the information processing unit 18 and the configuration information of the content associated therewith. This DB 30 is divided, for example, for each piece of content, and includes a specific word information section 32 and a content configuration information section 34.

[0029] Furthermore, the information processing unit 18 analyzes the frequency of occurrence of specific words stored in the specific word information unit 32 of the DB 30 and additional words contained in the content data 21 as an example of a selection condition, and selects keywords with high frequency of occurrence. Additionally, the information processing unit 18 may, for example, acquire theme words desired by the user in addition to analyzing the frequency of occurrence as another selection condition, determine the degree of similarity or relevance to the theme words, and select words with high similarity or relevance. This degree of relevance may be determined using information acquired from, for example, a database (not shown) or an external database, and may use so-called suggested words, re-search keywords, competitive words, etc. The selected keywords are an example of selected keywords of the present disclosure.

[0030] <About the information display screen> After extracting the specific words and content configuration information from the collected content, the information processing unit 18 proceeds to the generation process of an information presentation screen for presenting this information to the user. The information presentation screen 40 includes selected word information 42 and content information 44, as shown in FIG. As mentioned above, the selected word information 42 is an area that presents selected keywords that are the analysis results of collected specific word information, words that appear frequently in the content, and words that are highly related to theme words. Content information 44 is an example of an area that presents specific words extracted from content data 21 and content configuration information, and has information areas 44-1, 44-2, ..., 44-N for each collected content data. Each piece of content information 44 has, for example, an address information section 46, a search condition / extraction condition section 47, a character count information section 48, a date information section 49, a priority information section 50, and a specific word information section 52.

[0031] The address information section 46 stores information that identifies the content and its location, and is not limited to URLs, but may also store content names or website names. The search condition / extraction condition section 47 is an example of an area for storing information specifying the subject words and the specific words to be extracted, etc., specified by the user via the user terminal 6. These conditions are used, for example, for searching websites and content via the information supply means 20, and are also used to extract "titles" and "headings" from HTML tag information in the content data 21. Additionally, the priority information section 50 is an example of content configuration information, and stores information set for words extracted as specific words. This priority information section 50 stores, for example, the order of appearance, the number of appearances, and ranking information such as HTML tags "h1", "h2", ... "h6". Furthermore, the specific word information section 52 may display the start position of each word in a shifted manner to indicate the level of priority based on the information in the priority information section 50, for example.

[0032] Fig. 5 shows an example of content information collection processing. The processing content and processing procedure shown in Fig. 5 are an example, and the technology of the present disclosure is not limited to such a configuration. This content information collection process is an example of an information processing method or an information processing program disclosed herein. The information processing device 4 acquires extraction conditions and search conditions for identifying content to be collected from the user terminal 6, and accesses content specified by the user or presented by the information supply means 20 to acquire content data 21 (S101). The information processing device 4 analyzes the collected content data 21 (S102), for example, to determine text information, tag information, and the frequency of word appearances. The information processing unit 18 extracts specific words and content configuration information from the analyzed information based on the extraction conditions (S103). The information processing device 4 uses the specific words and content configuration information extracted by the information processing unit 18 to generate an information presentation screen 40 representing the collection results (S104), and presents it to the user via the communication unit 8 and the information presentation unit 12 (S105).

[0033] [Effects of the first embodiment] According to this configuration, one of the following effects can be obtained. (1) By collecting information on targeted content from others and topical content, and presenting that information to users for use, it becomes possible to support the process of generating content that meets the needs and interests of network users. (2) By generating content that incorporates specific words and content configuration information that match the preferences and trends of network users on specific topics, an increase in the number of accesses can be expected. (3) When creating content, the workload and time required to research information such as specific words that are of interest to network users and content structure can be reduced, content can be generated and updated more quickly, and content that follows trends can be published.

[0034] Second Embodiment Fig. 6 shows the configuration of a content information collection system according to the second embodiment. The configuration shown in Fig. 6 is an example, and the technology of the present disclosure is not limited to such a configuration. In Fig. 6, the same parts as those in Figs. 1 and 2 are denoted by the same symbols, and their description will be omitted.

[0035] This content information collection system 60 differs from the content information collection system 2 of the first embodiment in that the information processing unit 18 has the function of monitoring the investigated websites or content, or specific words extracted from the content data 21, and excluding content or specific words that meet specified conditions. The information processing device 4 includes, for example, a determination function unit 62 and an exclusion processing unit 64 in the information processing unit 18, and stores an exclusion information DB 66 in the storage unit 10.

[0036] The determination function unit 62 determines whether the searched website, content, content data 21, or extracted specific words meet the exclusion criteria, and also determines whether the extracted specific words meet the theme words specified by the user. This determination utilizes, for example, address information, content names, and exclusion keywords stored in the exclusion information DB 66, as well as the theme words of the content set by the user. More specifically, the determination function unit 62 determines the degree of association between the searched website, content, and the specific words and the exclusion criteria, and if the degree of association matches or exceeds a predetermined threshold, excludes the content or specific words. The determination function unit 62 also determines the degree of association between the extracted multiple specific words and the theme words specified by the user, and if the degree of association is below a predetermined threshold, prevents the content or specific words from being displayed on the information presentation screen 40.

[0037] The exclusion processing unit 64 is an example of a functional unit that excludes content and specific words determined to be excluded based on the calculation and determination results of the relevance by the determination function unit 62. This exclusion processing includes, for example, processing that does not allow analysis processing of the content data 21 to be executed, and processing that does not store the extracted specific words in the DB 30 or deletes them. The exclusion information DB 66 is an area for storing criteria information for exclusion determination, and stores, for example, exclusion conditions acquired by the user or from an external database (not shown). Furthermore, when determining which words to exclude from multiple specific words extracted as described above, the exclusion information DB 66 may store theme words specified by the user.

[0038] Fig. 7 shows an example of content information collection processing. The processing details and processing procedures shown in Fig. 7 are merely examples, and the technology of the present disclosure is not limited to such a configuration. This content information collection process is an example of an information processing method or an information processing program disclosed herein. The information processing device 4 acquires content data (S201), analyzes the content data (S202), and extracts specific words and content constituent information (S203) based on instructions from the user terminal 6. These processes (S201-S203) may be similar to the process steps S101-S103 already described in Fig. 5, and therefore further description will be omitted.

[0039] The information processing device 4 reads the exclusion information DB 66 stored in the storage unit 10 (S204), and the determination function unit 62 determines the degree of association between the content data, the specific word, and the information registered in the exclusion information DB 66 (S205). This degree of association may be set, for example, based on whether an NG keyword to be excluded is used in part or all of the specific word, or whether a word similar to or related to the NG keyword is used. The degree of association may be set as graded evaluation information or numerical information, for example, based on the rate at which the NG word is used or the similarity of the words used.

[0040] The processing unit 14 determines whether the relevance to the set exclusion condition is equal to or greater than a predetermined threshold (S206), and if the determination is that the relevance is equal to or greater than the threshold (YES in S206), the processing unit 14 excludes the specific word or content data from the DB 30 (S207). This determination of the relevance and the determination of the threshold are performed for some or all of the collected specific words.

[0041] If the processing unit 14 determines that the relevance to the exclusion conditions is less than a predetermined threshold (NO in S206), it sets the relevance between the specific word and the search conditions including the theme word set by the user (S208). This relevance setting may be performed in the same manner as the process for setting the relevance to the NG keywords described above. For example, when the collected content contains many topics and contents, the comparison between the specific word and the theme word determines whether the specific word in the extracted title, heading, etc. is related to the theme specified by the user. Then, the processing unit 14 determines whether the relevance to the set search conditions is less than a predetermined threshold (S209), and if it is determined to be less than the threshold (YES in S209), it removes the specific word from the DB 30 (S210). By performing these processes, it is possible to remove specific words other than those related to themes desired by the user. Furthermore, if the relevance to the set search conditions is greater than or equal to a predetermined threshold (NO in S209), the information processing device 4 uses the specific word and the configuration information of the content to generate an information presentation screen (S211) and perform the presentation process (S212).

[0042] Additionally, the process of determining the degree of relevance with the exclusion conditions may be executed, for example, when accessing multiple websites or content presented by the information supply means 20 or when collecting content data from these contents. In this case, the exclusion conditions may be determined, for example, by determining whether specific address information or content contains a predetermined NG keyword, and if the exclusion conditions are met, the content may be excluded and the information collection process may be executed. Furthermore, in this embodiment, the comparison of the relevance to the exclusion conditions and the relevance to the research conditions, which are the themes designated by the user, is performed, but this is not limiting. Only one of these comparisons may be performed.

[0043] [Effects of the second embodiment] According to this configuration, one of the following effects can be obtained. (1) The same effects as those of the first embodiment can be obtained. (2) It is possible to extract specific words, such as headings and titles, that are highly relevant to the specified theme from other content, and provide information on content that matches the user's needs. (3) Since specific words can be extracted by excluding information that the user does not want in advance, the workload of selecting and checking specific words can be reduced in the content generation process. [Example]

[0044] Next, an example of content information gathering processing will be described. FIG. 8 illustrates an example of content information collection processing according to the embodiment. The information processing device 4 receives input of search conditions from the user terminal 6, such as a target keyword to be used as a search query, a target URL of a specific website targeted by the user, or an analysis file of content data specified by the user (S301). The information processing device 4 enters a standby state while any of this information is not entered or an input error occurs (YES in S302), and once information is entered (NO in S302), the processing unit 14 transitions to search and analysis processing according to the entered information.

[0045] When the processing unit 14 determines that a target keyword, which is a search condition, has been input (YES in S303), it determines whether there is an instruction to use a general search engine available on the network via the communication unit 8 (S304). If there is such an instruction (YES in S304), it extracts multiple content data based on the search results of the specified search engine (S305). In extracting this content data, for example, a predetermined number of contents from the top of the search rankings are accessed, and main headings, titles, and other character strings and other information are extracted from each content. In addition, in this extraction process, information such as the priority information set for headings and titles, the average number of characters, maximum number of characters, and minimum number of characters is obtained as content configuration information.

[0046] Furthermore, if the search conditions include an instruction to use a specific search system (NO in S304, YES in S306), the processing unit 14 may sort the search results by setting conditions such as priority, update date, and reputation information according to the specifications of the search system (S307).The processing unit 14 then extracts content data from the presented search results (S308).This extraction process may be performed in the same manner as in S305, and a description thereof will be omitted.

[0047] In addition, if the target keyword, which is a search condition, is not input (NO in S303), if a specific target URL is input (YES in S309), or if unique data is uploaded (NO in S309, YES in S310), the information processing device 4 performs an extraction process of content data from the presented content without going through a search process (S305).

[0048] When the processing unit 14 completes the extraction process of content data based on specified conditions, for example, it stores the extracted information in DB30 or the like as a working area of ​​the storage unit 10 (S311), generates an information presentation screen 40 using each piece of data (S312), and extracts words that are frequently used in multiple content data, i.e., words (keywords) that appear frequently, and presents them in a part of the information presentation screen 40 (for example, selected word information 42) (S313). With these processes, the content information gathering process is completed. [Modification]

[0049] The following are some characteristics and modifications of the above-described embodiment.

[0050] In the above embodiment, the information processing device 4 generates an information presentation screen that presents specific words such as titles and headings collected from other content and content configuration information, but the technology of the present disclosure is not limited to this. The information processing device 4 may, for example, have a function for comparing the collected specific words and content configuration information with specific word information and content configuration information extracted from content created and managed by the user, and performing an evaluation process. In addition to this evaluation process, the information processing device 4 may also have a function for presenting specific words and content configuration information that are missing from the user's content. By providing such a function, it becomes possible to adapt user content to the preferences and trends of network users, thereby enhancing convenience.

[0051] As explained above, the most preferred embodiments and examples of the technology of the present disclosure have been described. The technology of the present disclosure is not limited to the above description. Various modifications and changes are possible for those skilled in the art based on the gist of the invention as described in the claims or disclosed in the description for carrying out the invention. It goes without saying that such modifications and changes are included in the technical scope of the present disclosure. [Industrial Applicability]

[0052] According to the content information collection process of the present disclosure, specific words such as titles and headings contained in other content that is the same as or highly related to a specific theme, as well as the content's configuration information, are analyzed, and this information is presented to the user, which is useful in contributing to the generation of content that follows the preferences and trends of network users. [Explanation of symbols]

[0053] 2.60 Content information collection system 4. Information processing equipment 6 User terminals 8. Communications Department 10 Storage section 12 Information presentation section 14 Processing section 16 Information Gathering Department 18 Information Processing Department 20 Information supply means 21 Content Data 22 Text Area 24 Non-text Areas 26 Specific words 30 DB 32 Specific word information section 34 Content configuration information section 40 Information presentation screen 42 Selected Word Information 44 Content Information 44-1, 44-2,...44-N Information area 46 Address information section 47 Search conditions / extraction conditions section 48 Character count information section 49 Date Information Section 50 Priority Information Department 52 Specific word information section 62 Judgment function section 64 Exclusion Processing Unit 66 Exclusion information DB

Claims

1. 1. A computer-implemented information processing method, comprising: an information collection unit collecting content data from one or both of content designated by a user and content searched for on a network through a predetermined information source according to search conditions set by a user; an information processing unit analyzing the content data to extract at least specific words constituting the content and content configuration information, and generating an information presentation screen including the specific words and the content configuration information for each content; a step of a presentation unit presenting the information presentation screen to the user; An information processing method, including:

2. Furthermore, the information processing unit selects selected keywords from the extracted specific words based on selection conditions, and presents the selected keywords on the information presentation screen; The information processing method according to claim 1 , comprising:

3. The information processing unit a step of comparing the extracted specific words with the search conditions or the set exclusion conditions to determine the degree of association; The information processing method according to claim 1, wherein the information presentation screen is generated by excluding from the specific words specific words whose relevance to the search conditions is less than a predetermined threshold, or specific words whose relevance to the exclusion conditions is greater than or equal to a predetermined threshold.

4. A function to collect content data from either or both of the content specified by the user and the content searched on the network through predetermined information sources according to the search conditions set by the user; a function of analyzing the content data, extracting at least specific words constituting the content and content configuration information, and generating an information presentation screen including the specific words and the content configuration information for each content; a function of presenting the information presentation screen to the user; An information processing program that causes a computer to execute the above.

5. Furthermore, a function of selecting selected keywords from the extracted specific words based on selection conditions and presenting the selected keywords on the information presentation screen; The information processing program according to claim 4 , which causes the computer to execute the following:

6. a function of comparing the extracted specific words with the search conditions or the set exclusion conditions to determine the degree of association; a function of excluding, from the specific words, specific words whose relevance to the search conditions is less than a predetermined threshold, or specific words whose relevance to the exclusion conditions is equal to or greater than a predetermined threshold, and generating the information presentation screen; The information processing program according to claim 4 , which causes the computer to execute the following:

7. a function of generating, for each piece of content, the information presentation screen including a first information presentation area that presents the extracted specific words in accordance with priority information set in the configuration information of the content, and a second information presentation area that presents the selected keywords; The information processing program according to claim 5 , which causes the computer to execute the following:

8. an information collection unit that collects content data from either or both of content designated by a user and content searched on a network through a predetermined information source according to search conditions set by a user; a storage unit that stores the content data in association with the search conditions; an information processing unit that analyzes the content data, extracts at least specific words that constitute the content and content configuration information, and generates an information presentation screen including the specific words and the content configuration information for each content; an information presentation unit that presents the information presentation screen to the user; An information processing device comprising:

Images