Information processing device, information processing method, and information processing program

Abstract

To provide an information processing device, an information processing method, and an information processing program, which allow a user to efficiently understand content of news articles.SOLUTION: An information processing device disclosed herein comprises a collection unit for collecting multiple news articles related to a specific event, an extraction unit for extracting multiple points of interest about the specific event on the basis of the collected multiple news articles, a generation unit for generating association information associating the multiple points of interest on the basis of content, and a provision unit for providing the generated association information to news article distribution target users.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] 2. Description of the Related Art Conventionally, services that deliver content such as news articles to users have been known. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-81394 Summary of the Invention [Problem to be solved by the invention]

[0004] However, when the content of a distributed news article is difficult to understand or contains a large amount of information, users may need to reread the article multiple times. Furthermore, a single news article may not provide the information a user needs, and users may need to read other related articles to obtain more information. Thus, there has traditionally been room for improvement in helping users efficiently understand the content of news articles.

[0005] The present application has been made in view of the above, and aims to provide an information processing device, an information processing method, and an information processing program that enable a user to efficiently understand the contents of a news article. [Means for solving the problem]

[0006] The information processing device of the present application includes a collection unit that collects multiple news articles related to a specific event, an extraction unit that extracts multiple points of interest related to the specific event based on the collected multiple news articles, a generation unit that generates linking information that links the multiple points of interest based on their content, and a provision unit that provides the generated linking information to users to whom the news articles are to be distributed. [Effects of the Invention]

[0007] According to one aspect of the embodiment, an effect is achieved in that a user can efficiently understand the contents of a news article. [Brief explanation of the drawings]

[0008] [Figure 1A] FIG. 1A is a diagram showing a process executed by an information processing apparatus according to an embodiment. [Figure 1B] FIG. 1B is a diagram showing an example of a screen according to the embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of user information. [Figure 5] FIG. 5 is a diagram showing an example of article information. [Figure 6] FIG. 6 is a diagram illustrating an example of tree information. [Figure 7] FIG. 7 is a diagram showing an example of display of the association information. [Figure 8] FIG. 8 is a flowchart showing the processing procedure of the processing executed by the information processing apparatus according to the embodiment. [Figure 9] FIG. 9 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing device, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. Furthermore, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

[0010] (Embodiment) First, the processing executed by the information processing device according to the embodiment will be described with reference to Fig. 1A and Fig. 1B. Fig. 1A is a diagram showing the processing executed by the information processing device according to the embodiment. Fig. 1B is a diagram showing an example of association information according to the embodiment. Note that Fig. 1A shows an example of the operation of an information processing system S including an information processing device 1 according to the embodiment.

[0011] As shown in FIG. 1A, an information processing system S according to the embodiment includes an information processing device 1, a user terminal 100, and a request source terminal 200.

[0012] As shown in FIG. 1A, the information processing system S according to the embodiment collects multiple news articles related to a specific event, extracts multiple points of interest related to the specific event based on the collected multiple news articles, generates linking information that links the multiple points of interest based on their content, and provides the generated linking information to users to whom the news articles are to be distributed.

[0013] Specifically, first, the request source terminal 50 submits a news article to the information processing device 1 in accordance with an operation of the requester (step S1). The news article includes text information such as the article body and headwords, and image information.

[0014] Next, the information processing device 1 groups the submitted news articles by event (step S2). That is, the information processing device 1 collects multiple news articles for each specific event. An event is a category of content mentioned in a news article, such as sports, politics, finance, or entertainment. Events may also be further subdivided into the above categories. Examples of political events include the Political Ethics Committee (Political Ethics Committee), the House of Representatives election, and an extraordinary Diet session. These events may be preset, or may be generated (output) from a generation AI (Artificial Intelligence) by inputting news articles into the AI.

[0015] Next, the information processing device 1 extracts points of interest related to a specific event based on multiple news articles grouped into the specific event (step S3). Points of interest may be content important for understanding the specific event, content that is the subject of discussion among users about the specific event, or content that is controversial. For example, the information processing device 1 performs morphological analysis on each of the multiple news articles and extracts keywords that appear more than a threshold number of times and sentences related to the keywords as points of interest. The information processing device 1 may also extract points of interest based on user comments on news articles. For example, if a user comments (such as commentary, discussion, or pros and cons) on part of the content of a news article, the information processing device 1 extracts the part of the content or comments as points of interest. For example, the information processing device 1 may input, along with multiple news articles and comments, a prompt to the generation AI instructing it to extract points of interest related to the specific event from the news articles and comments, and the points of interest output from the generation AI may be used as the extraction result.

[0016] Next, the information processing device 1 generates linking information in which the extracted multiple points of interest are linked based on their contents (step S4). For example, the information processing device 1 stratifies the multiple points of interest according to their contents and generates linking information in which each layer is linked in a tree structure. Details of the tree structured linking information will be described later with reference to FIG. 1B.

[0017] Next, the information processing device 1 provides the generated linking information to users to whom the news article is to be distributed (step S5). In the example shown in FIG. 1A, the information processing device 1 provides both the news article C1 and the linking information C2. Specifically, the information processing device 1 displays the news article C1 and the linking information C2 side by side. More specifically, the information processing device 1 displays the linking information C2 in an area (an area where advertisements, etc., are displayed) adjacent to the area where the news article C1 is displayed. This allows the user to view the linking information while viewing the news article. Note that the display example shown in FIG. 1A is merely an example. For example, the linking information C2 may be displayed in the area where the news article C1 is displayed. In this case, the linking information C2 is displayed side by side at the end of the news article C1, for example.

[0018] Next, an example of the association information according to the embodiment will be described with reference to Fig. 1B. Fig. 1B shows an example of association information C2 in which "AA" is a specific event. Note that "AA" is input as a word related to the specific event.

[0019] 1B, the information processing device 1 stratifies a plurality of points of interest according to their contents and generates linked information C2 in which each layer is linked in a tree structure. In the example shown in FIG. 1B, linked information C2 is shown in which the points of interest are linked in a three-layer tree structure of a first layer 300 to a third layer 320.

[0020] The first layer 300 is the top layer in the linking information C2. The points of interest in the first layer 300 are contents that indicate the outline of the linking information C2. In other words, the points of interest in the first layer 300 are linked to all of the points of interest in the second layer 310 and the third layer 320. Note that while FIG. 1B shows a case where there is one point of interest in the first layer 300, there may be two or more points of interest.

[0021] The second layer 310 is a layer located below the first layer 300, and is an intermediate layer in the linking information C2 shown in FIG. 1B. The points of interest in the second layer 310 are contents that specify the points of interest in the first layer 300. Specifically, the points of interest in the second layer 310 are points of interest that specify, exemplify, or are derived from the points of interest in the first layer 300. In other words, each point of interest in the second layer 310 is linked to a point of interest in the first layer 300.

[0022] The third layer 320 is a layer below the second layer 310 and is the lowest layer in the linked information C2 shown in FIG. 1B. The points of interest in the third layer 320 include details that specify the points of interest in the second layer 310, user comments on the linked points of interest in the second layer 310, etc. Specifically, the points of interest in the third layer 320 include points of interest that specify, exemplify, or derive the points of interest in the second layer 310, as well as user comments on the points of interest. In other words, each point of interest in the third layer 320 is linked to a point of interest in the second layer 310.

[0023] 1B, the first layer 300 and the second layer 310 are linked with points of interest extracted from news articles, and the third layer 320 is linked with points of interest indicating user comments on the points of interest in the second layer 310. This makes it possible to grasp the content structure of "AA" mentioned in the news article in the first layer 300 and the second layer 310, and to grasp the user's opinion on the points of interest in the first layer 300 and the second layer 310 in the third layer 320.

[0024] In this manner, in the present disclosure, the linking information C2 is generated using multiple news articles related to a specific event, and therefore, notable points related to the specific event can be summarized in the linking information C2. As a result, a user can understand the content of a news article without acquiring information from other articles by viewing the news article while looking at the linking information C2. Furthermore, by summarizing notable points, even if the event mentioned in the news article is difficult to understand, the need to reread the article multiple times can be reduced. In other words, the information processing device 1 according to the embodiment allows a user to efficiently understand the content of a news article.

[0025] The information processing device 1 has functions for receiving an evaluation of the accuracy of the linked information C2 from the user and for allowing the user to add new points of interest to the linked information C2, details of which will be described later with reference to FIG.

[0026] 1B shows an example of tree-structured link information C2, but any structure may be used as long as the points of interest are linked to each other with a relationship between them. For example, it may be a format in which points of interest branch (link) to other points of interest, such as a mind map, or a table format.

[0027] Next, a configuration example of an information processing system S according to an embodiment will be described with reference to Fig. 2. Fig. 2 is a block diagram showing a configuration example of the information processing system S according to an embodiment. As shown in Fig. 2, in the information processing system S according to an embodiment, an information processing device 1, a plurality of user terminals 100, and a plurality of request source terminals 200 are connected to a network N by wire or wirelessly. The network N is, for example, a network such as the Internet, a WAN (Wide Area Network), or a LAN (Local Area Network).

[0028] The information processing device 1 is a server device that executes an information processing method according to an embodiment. The information processing device 1 collects multiple news articles related to a specific event, extracts multiple points of interest related to the specific event based on the collected multiple news articles, generates linked information that links the multiple points of interest based on their contents, and provides the generated linked information to users to whom the news articles are to be distributed.

[0029] In addition, the information processing device 1 is an information processing device that cooperates with multiple user terminals 100 and multiple requesting terminals 200, and provides the multiple user terminals 100 and multiple requesting terminals 200 with API (Application Programming Interface) services for various applications (hereinafter referred to as apps), etc., and various data, and is realized by a server device, a cloud system, etc.

[0030] Furthermore, the information processing device 1 may be an information processing device that provides some kind of online web service to a plurality of user terminals 100 and a plurality of request source terminals 200. For example, the information processing device 1 may provide services such as internet connection, search services, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, and weather forecasts as web services. In practice, the information processing device 1 may cooperate with various servers that provide the above-mentioned web services and act as an intermediary for the web services or may be responsible for processing the web services.

[0031] The user terminal 100 is a terminal device carried by a user to whom news articles and associated information are to be distributed. The user terminal 100 may be any type of terminal device, such as a smartphone, a desktop PC, a notebook PC, or a tablet PC. The user terminal 100 transmits various types of information to the information processing device 1 or the like, and receives information provided by the information processing device 1 or the like.

[0032] The requesting terminal 200 is a terminal device owned by a requester who requests distribution of a news article. The requesting terminal 200 can be any type of terminal device, such as a smartphone, a desktop PC, a notebook PC, or a tablet PC. The requesting terminal 200 transmits various types of information to the information processing device 1 or the like, and receives information provided by the information processing device 1 or the like.

[0033] Next, an example of the configuration of the information processing device 1 will be described with reference to FIG.

[0034] Fig. 3 is a diagram showing an example of the configuration of an information processing device 1 according to an embodiment. As shown in Fig. 3, the information processing device 1 has a communication unit 2, a control unit 3, and a storage unit 4. The control unit 3 includes a collection unit 31, an extraction unit 32, a generation unit 33, and a provision unit 34. The storage unit 4 stores user information 41, article information 42, and tree information 43.

[0035] The communication unit 2 is realized by, for example, a network interface card (NIC), etc. The communication unit 2 is connected to a network by wire or wirelessly.

[0036] The control unit 3 is a controller, and is realized by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a work area. The control unit 3 is also a controller, and may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

[0037] The storage unit 4 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

[0038] The user information 41 is information about the user.

[0039] Fig. 4 is a diagram showing an example of the user information 41. As shown in Fig. 4, the user information 41 includes items such as "user ID," "attribute information," and "behavior information."

[0040] "User ID" is identification information that identifies a user. "Attribute information" is information about a user's attributes. Attribute information includes, for example, psychographic attributes and demographic attributes. "Behavioral information" is information about the user's behavior history, and includes the history of various behaviors such as search behavior, purchasing behavior, visiting behavior, news article viewing behavior, and rating behavior on news articles. Rating behavior is, for example, behavior of selecting whether a news article is positive or negative, or behavior of posting a comment on a news article.

[0041] Article information 42 is information about news articles.

[0042] Fig. 5 is a diagram showing an example of the article information 42. As shown in Fig. 5, the article information 42 includes items such as "article ID," "article content," and "event."

[0043] "Article ID" is identification information that identifies a news article. "Article content" is information about the content of the news article, such as text, image information, and comment information on the news. "Event" is information indicating the event mentioned in the news article, and is input from one of predetermined categories such as sports, politics, finance, etc. Events may also be generated by, for example, a generation AI. Specifically, the control unit 3 may input the collected multiple news articles and a prompt that outputs text indicating the event to the generation AI, thereby setting the text output from the generation AI as an event.

[0044] The tree information 43 is information about a tree-format mind map, which is an example of linked information.

[0045] Fig. 6 is a diagram showing an example of the tree information 43. As shown in Fig. 6, the tree information 43 includes items such as "tree ID", "event", and "point of interest".

[0046] "Tree ID" is identification information that identifies the linked information, which is a tree-format mind map. "Event" is information on the event mentioned in the mind map. "Point of Interest" is information on the point of interest linked in the linked information, which is a mind map.

[0047] Next, the functions of the control unit 3 of the information processing device 1 (collection unit 31, extraction unit 32, generation unit 33, and provision unit 34) will be described.

[0048] The collection unit 31 collects, for each event, the news articles submitted by the requesting terminal 200. Specifically, the collection unit 31 collects a plurality of news articles and classifies the collected news articles for each event.

[0049] The extraction unit 32 extracts multiple points of interest related to a specific event based on the collected multiple news articles. For example, the extraction unit 32 performs morphological analysis on each of the multiple news articles and extracts keywords whose occurrence count is equal to or exceeds a threshold value and sentences related to the keywords as points of interest. The extraction unit 32 may also extract points of interest based on user comments on news articles. For example, if a user comments (such as an explanation, discussion, or pros and cons) on part of the content of a news article, the extraction unit 32 extracts the part of the content or the comment as points of interest. For example, the extraction unit 32 may input, along with the multiple news articles and comments, a prompt to the generation AI instructing the AI ​​to extract points of interest related to a specific event from the news articles and comments, and the points of interest output from the generation AI may be used as the extraction results.

[0050] Note that news articles to be extracted as points of interest may be limited to news articles from a predetermined period. For example, the extraction unit 32 may extract news articles submitted (or distributed) within the most recent predetermined period (e.g., one week) or within a predetermined period in the past (e.g., June of last year) as points of interest. The extraction unit 32 may also extract news articles submitted by a predetermined client as points of interest. For example, if the specific event is politics, the extraction unit 32 may extract news articles submitted by a client who submits many news articles related to politics as points of interest.

[0051] The generation unit 33 generates linking information that links the extracted multiple points of interest based on their content. For example, as shown in FIG. 1B, the generation unit 33 stratifies the multiple points of interest according to their content and generates linking information that links each layer in a tree structure. Note that the generation unit 33 may not (prohibit) generating linking information if the number of extracted points of interest is less than a threshold. This is because, when the number of points of interest is small, the content of the news article is likely not complex, and the user can understand the news article without needing linking information. This allows the generation unit 33 to reduce unnecessary processing load.

[0052] The providing unit 34 provides the generated linking information to users to whom the news article is to be distributed. For example, the providing unit 34 displays the news article and the linking information side by side, as shown in FIG. 1A. More specifically, the providing unit 34 displays the linking information in an area adjacent to the area where the news article is displayed (an area where advertisements, etc. are displayed). This allows the user to view the linking information while viewing the news article. Note that the linking information C2 may be displayed in the area where the news article is displayed. In this case, the linking information is displayed side by side, for example, at the end of the news article.

[0053] Next, a display example of the linking information will be described in detail with reference to Fig. 7. Fig. 7 is a diagram showing a display example of the linking information. As shown in Fig. 7, the display area of ​​the linking information C2 includes a first area C20 in which the tree-structured linking information is displayed, a second area C21 in which an evaluation of the accuracy of the linking information is received, and a third area C22 in which points of interest are added to the linking information.

[0054] The first area C20 displays the linked information in a tree structure. As described above, the linked information has a three-layer structure consisting of a first layer 300 to a third layer 320. In addition, an add button 330 is displayed at the branch point of each attention point in each layer. When the user selects this add button 330, a third area C22 is displayed, allowing the user to add a new attention point as a branch of the selected add button 330.

[0055] Also, in FIG. 7 , icons 340 such as "explanation" and "opinion" are displayed at some of the points of interest on the second layer 310. When a user selects such an icon 340, a comment (comment of explanation or opinion) posted by the user for the point of interest corresponding to the selected icon 340 is displayed. In other words, the generation unit 33 generates linking information that associates a comment by a user that explains (including an opinion) the content with a point of interest on the second layer 310 extracted from the content of a news article. Then, when a user who provided the linking information designates an icon 340 corresponding to the point of interest, the provision unit 34 provides the user with a comment associated with the point of interest. This allows the user to have a deeper understanding of the content of each point of interest.

[0056] When the user directly selects a point of interest from the first to third layers 300 to 320, the providing unit 34 provides the user with the news article from which the point of interest was extracted. This saves the user the trouble of searching for a news article corresponding to the point of interest, allowing the user to efficiently understand the content of the news article (point of interest).

[0057] 7, a schematic face icon 350 is displayed at the attention point on the third layer 320. When the user selects such an icon 350, a comment by the user that is the attention point corresponding to the selected icon 350 is displayed.

[0058] Next, the second area C21 displays an acceptance button ("Easy to Understand") for accepting an evaluation of the accuracy of the linking information from the user. For example, when the user presses the acceptance button, the providing unit 34 accepts that the user agrees with the linking information. On the other hand, when the user does not press the acceptance button or presses an acceptance button (not shown) indicating disagreement, the providing unit 34 accepts that the user does not agree with the linking information. In this case, the generating unit 33 regenerates the linking information. When regenerating, the generating unit 33 regenerates the linking information so that the contents of the attention points are different by at least a predetermined number. For example, the extracting unit 32 changes the news article from which the attention points are extracted and re-extracts the attention points. Specifically, the extracting unit 32 extracts news articles with different submission times or clients who submitted them.

[0059] Next, the third area C22 displays an input area in which the user can input text of a new attention point to be added to the association information. FIG. 7 illustrates a case in which the user selects the icon 340 associated with the branch point at which the attention point "AAA5" on the second layer 310 branches to attention points "AAA51" and "AAA52," and inputs "AAA53" into the input area. That is, the providing unit 34 accepts an additional attention point, which is a new attention point to be added, from the user who provided the association information. In this case, the generating unit 33 places the accepted additional attention point "AAA53" on the third layer 320 and associates it with the attention point "AAA5." In this way, by allowing the user to add attention points later, the user can generate unique association information.

[0060] Next, a processing procedure of the processing executed by the information processing device 1 according to the embodiment will be described with reference to Fig. 8. Fig. 8 is a flowchart showing the processing procedure of the processing executed by the information processing device 1 according to the embodiment.

[0061] As shown in FIG. 8, the control unit 3 first collects news articles submitted from the requesting terminal 200 (step S101).

[0062] Next, the control unit 3 groups the collected news articles by event (step S102).

[0063] Next, the control unit 3 extracts points of interest relating to the specific event based on the plurality of news articles grouped into the specific event (step S103).

[0064] Next, the control unit 3 generates linking information that links the extracted multiple points of interest based on their contents (step S104).

[0065] Next, the control unit 3 provides the generated linking information together with the news article to the user terminal 100 (step S105), and ends the process.

[0066] 〔others〕 Furthermore, among the processes described in the above embodiments, some of the processes described as being performed automatically can also be performed manually. Alternatively, all or some of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

[0067] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0068] 3 may be held in a storage server or the like, rather than being held by each device. In this case, each device obtains various pieces of information by accessing the storage server.

[0069] [Hardware configuration] The information processing device 1 according to the embodiment described above is realized by, for example, a computer 1000 configured as shown in Fig. 9. Fig. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which an arithmetic unit 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090.

[0070] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device, such as a RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, or the like.

[0071] The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor or a printer, and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface), etc. The input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, scanner, etc., and is realized by a USB, etc.

[0072] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. The input device 1020 may also be an external storage medium such as a USB memory.

[0073] The network IF 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.

[0074] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

[0075] For example, when the computer 1000 functions as the information processing device 1, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040, thereby realizing the functions of the control unit 3.

[0076] 〔effect〕 As described above, the information processing device 1 according to the embodiment includes a collection unit 31 that collects multiple news articles related to a specific event, an extraction unit 32 that extracts multiple points of interest related to the specific event based on the collected multiple news articles, a generation unit 33 that generates linking information C2 that links the multiple points of interest based on their content, and a provision unit 34 that provides the generated linking information C2 to users to whom the news articles are to be distributed.

[0077] This configuration allows the user to efficiently understand the contents of the news article.

[0078] Although some of the embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be implemented in other forms that include the embodiments described in the Disclosure of the Invention section and that have undergone various modifications and improvements based on the knowledge of those skilled in the art.

[0079] 〔others〕 Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

[0080] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0081] Furthermore, the processes described in the above-described embodiments can be combined as appropriate within the scope of not causing any contradiction in the process contents.

[0082] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, the control unit 3 can be read as control means or a control circuit. [Explanation of symbols]

[0083] 1. Information processing equipment 2. Communications Department 3. Control Unit 4 Storage section 31 Collection Department 32 Extraction part 33 Generation part 34 Providing Department 41 User Information 42 Article Information 43 Tree Information 50 Requesting terminal 100 user terminals 200 Requesting device S Information Processing System

Claims

1. a collection unit that collects a plurality of news articles relating to a particular event; an extracting unit that extracts a plurality of points of interest related to the specific event based on the plurality of collected news articles; a generation unit that generates linking information in which the plurality of attention points are linked based on their contents; a providing unit that provides the generated linked information to users who are the distribution targets of the news article; An information processing device comprising:

2. The generation unit The plurality of points of interest are stratified according to their contents, and the linking information in which each layer is linked in a tree structure is generated. The information processing device according to claim 1 .

3. The generation unit The linking information in which the plurality of points of interest are linked in the three-layer tree structure is generated. The information processing device according to claim 2 .

4. The plurality of points of interest are The points of interest are extracted from the contents of the news articles, and the points of interest are extracted from user comments on the news articles, The generation unit Generate the link information in which the points of interest extracted from the comments are linked to the lowest layer in the tree structure. The information processing device according to claim 2 .

5. The generation unit generating the linked information in which user comments explaining the content are associated with the points of interest extracted from the content of the news article; The providing unit When a user who provided the linking information specifies the point of interest, the comment associated with the point of interest is provided to the user. The information processing device according to claim 2 .

6. The providing unit When a user who provided the linking information specifies a specific point of interest, the news article from which the specific point of interest is extracted is provided to the user. The information processing device according to claim 1 .

7. The providing unit receiving an evaluation of the accuracy of the associated information from the user who provided the associated information; The generation unit Regenerate the linking information based on the received evaluation. The information processing device according to claim 1 .

8. The providing unit Accepting an additional attention point, which is a newly added attention point, from the user who provided the linking information; The generation unit Generate the linking information that links the received additional attention points. The information processing device according to claim 1 .

9. The generation unit If the number of the extracted plurality of points of interest is less than a threshold, the process of generating the association information is prohibited. The information processing device according to claim 1 .

10. 1. A computer-implemented information processing method, comprising: a collecting step of collecting a plurality of news articles relating to a particular event; an extraction step of extracting a plurality of points of interest related to the specific event based on the plurality of collected news articles; a generating step of generating linking information in which the plurality of points of interest are linked based on their contents; a providing step of providing the generated linked information to users to whom the news article is to be distributed; An information processing method including:

11. a collection procedure for collecting multiple news articles about a particular event; an extraction step of extracting a plurality of points of interest related to the specific event based on the plurality of collected news articles; a generation step of generating linking information in which the plurality of points of interest are linked based on their contents; a provision step of providing the generated linking information to users to whom the news article is to be distributed; An information processing program that causes a computer to execute the above.

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