JP2017027265A - Information extraction method, information processing device, information processing system and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information extraction method that facilitates an extraction of a submission about a prescribed theme from a plurality of submissions including the submission not including a keyword about the prescribed theme.SOLUTION: An information providing method is the information extraction method in which a computer extracts prescribed information from information disclosed by a plurality of accounts. The computer includes: a collection step of collecting a plurality of pieces of information relevant to a prescribed field from the disclosed information: a specification step of specifying an account conducting a prescribed operation to the collected information; a determination step of determining a plurality of representative accounts in the prescribed field on the basis of the number of times of conduction of the prescribed operation thereto from the specified accounts; and an extraction step of extracting information in which the prescribed operation is conducted by the plurality of representative accounts from the disclosed information.SELECTED DRAWING: Figure 4

Description

  The present invention relates to an information extraction method, an information processing apparatus, an information processing system, and a program.

  For example, a web service that publishes comments, images, and the like posted by a plurality of users, such as an SNS (Social Networking Service) and a mini blog, is known.

  In addition, based on the contributions posted by the contributors accumulated in the server, the restaurant rankings corresponding to the predetermined regions and predetermined genres registered by the contributors are generated, and the information reflecting the characteristics of each contributor There is known an information providing system that provides information (see, for example, Patent Document 1).

JP 2007-193427 A

  Posts published on SNS etc. contain a lot of useful information, but if you want to search for posts related to a predetermined theme (for example, sports, hobbies, pets, etc.), these posts include keywords related to the predetermined theme Often not. Therefore, in the conventional technology, it has been difficult to extract a post related to a predetermined theme from a plurality of posts including a post not including a keyword related to the predetermined theme.

  One embodiment of the present invention has been made in view of the above problems, and extracts a post related to a predetermined theme from a plurality of posts including a post not including a keyword related to a predetermined theme. It is an object to provide an information extraction method that facilitates.

  In order to solve the above problems, an information providing method according to an embodiment of the present invention is an information extraction method in which a computer extracts predetermined information from information published by a plurality of accounts, and the computer includes: A collecting step of collecting a plurality of pieces of information related to a predetermined field from the disclosed information, a specifying step of specifying an account that has performed a predetermined operation on the collected information, and the specified A determination step of determining a plurality of representative accounts in the predetermined field based on the number of times the predetermined operation has been performed from among accounts; and the predetermined information by the plurality of representative accounts from among the published information Extracting the information on which the operation has been performed.

  According to an embodiment of the present invention, it is possible to provide an information extraction method that makes it easy to extract posts related to a predetermined theme from a plurality of posts including posts that do not include a keyword related to a predetermined theme. .

It is a figure which shows the system configuration example of the information processing system which concerns on one Embodiment. It is an image figure of an example of the contribution concerning one embodiment. It is a figure which shows the hardware structural example of the computer which concerns on one Embodiment. It is a functional lineblock diagram of an information processing system concerning one embodiment. It is a flowchart which shows the example of the extraction process of the information provision server which concerns on one Embodiment. It is a figure which shows the example of the theme information which concerns on one Embodiment. It is a figure for demonstrating the example of the process of the account specific | specification part which concerns on one Embodiment. It is a figure for demonstrating the example of a process of the representative account determination part which concerns on one Embodiment. It is a figure for demonstrating the example of the process of the information extraction part which concerns on one Embodiment. It is a sequence diagram which shows the example of the information provision process which concerns on one Embodiment. It is a figure which shows the example of the display screen of the information terminal which concerns on one Embodiment. It is a figure which shows the example of the information which the information provision system which concerns on one Embodiment provides.

  Embodiments of the present invention will be described below with reference to the accompanying drawings.

<System configuration>
FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment. In the example of FIG. 1, the information processing system 100 includes a plurality of information terminals 102 a, 102 b, 102 c, an information providing server 101, and an SNS (Social Networking Service) server 103. In the following description, “information terminal 102” is used to indicate an arbitrary information terminal among the plurality of information terminals 102a to 102c. In addition, the number of information terminals 102 in FIG. 1 is an example, and other numbers may be used.

  The information providing server 101, the information terminal 102, and the SNS server 103 can communicate with each other via a network 104 such as the Internet or a LAN (Local Area Network).

  The SNS server 103 is a system including, for example, one or more information processing apparatuses. The SNS server 103 provides a web service that publishes comments, images, and the like posted by a plurality of users, such as an SNS and a miniblog.

  The information terminal 102 is a terminal device such as a smartphone, a tablet terminal, a mobile phone, a notebook PC, or a game device used by a user. The user uses the information terminal 10 to log in to the SNS server 103 using, for example, an account registered in advance in the SNS server 103, and post a comment, an image, or a post by another user. be able to. Further, the user can access the information providing server 101 using the information terminal 102 and use a service provided by the information providing server 101.

  The information providing server 101 is a system including, for example, one or more information processing apparatuses. For example, the information providing server 101 extracts useful posts for each predetermined theme from a plurality of posts published by the SNS server 103 or the like. The information providing server 101 provides useful posts to the user for each extracted predetermined theme. An example of the posting published by the SNS server 103 or the like is shown in FIG.

  FIG. 2 is an image diagram of an example of posting according to an embodiment. In the example of FIG. 2, an example of posting related to “interior” is shown as an example of a predetermined theme.

  The post 201 illustrated in FIG. 2A includes, for example, an image related to an interior such as a chair, a user name (user A), a comment, and information such as a posting date and time. In the example of FIG. 2A, the comment includes keywords relating to the interior such as “interior shop” and “chair”. Thus, for example, the user extracts a post 201 as shown in FIG. 2A by performing a search using a keyword such as “interior” or “chair” for a plurality of published posts. I think it can be done.

  On the other hand, the post 202 shown in FIG. 2B includes, for example, an image related to an interior such as a rocking chair, information such as a user name (user B), a comment, and a posting date and time. However, the comment of this post 202 does not include keywords directly related to the interior. Therefore, for example, it is considered difficult for the user to extract the post 202 shown in FIG. 2B by keyword search from a plurality of published posts.

  Similarly, the post 203 shown in FIG. 2C includes information such as an image (still image or video) related to the interior such as a table or a chair, a user name (user C), and a posting date and time. Yes. However, since there is no comment on this post 203, it is difficult to extract the post 203 shown in FIG. 2C from a plurality of published posts by keyword search.

  Posts published on SNS, mini-blog, etc. contain a lot of rare information such as local information, for example, but these posts are shown in FIGS. 2B and 2C, for example. In many cases, the keywords necessary for the search are not included. Therefore, it has been difficult for a general user to find a post related to a predetermined theme from a plurality of posts including a post not including a keyword related to the predetermined theme.

  The information providing server 101 according to the present embodiment extracts valuable information for each of a plurality of predetermined themes from a plurality of posts including a post that does not include a keyword related to a predetermined theme. In addition, the information providing server 101 provides a service (interest curation service) that collectively provides extracted information to the user.

  The configuration of the information processing system 100 illustrated in FIG. 1 is an example. For example, the information providing server 101 may have the function of the SNS server 103, and the function of the information providing server 101 may be included in the SNS server 103.

  The posting shown in FIG. 2 is an example of information published by a plurality of accounts. Information disclosed by a plurality of accounts includes not only character strings and images but also various information such as URL (Uniform Resource Locator) and music.

<Hardware configuration>
Next, the hardware configuration of each device included in the information processing system 100 will be described. The information providing server 101, the information terminal 102, and the SNS server 103 have a general computer configuration.

  FIG. 3 is a diagram illustrating a hardware configuration example of a computer according to an embodiment. 3, the computer 300 includes, for example, a CPU 301, a RAM 302, a ROM 303, a storage device 304, an input device 305, a display device 306, a communication I / F (Interface) 307, an external I / F 308, a bus 309, and the like.

  The CPU 301 is an arithmetic unit that realizes control and functions of the computer 300 by reading a program and data from a memory such as the ROM 303 and the storage device 304 onto the RAM 302 and executing processing. The ROM 303 stores programs and data such as BIOS (Basic Input / Output System), OS (Operating System) settings, and various settings that are executed when the computer 300 is started up. The RAM 302 is a volatile memory that temporarily stores programs and data. The storage device 304 is a large-capacity storage device that stores programs and data.

  The input device 305 is, for example, a keyboard or a mouse, and is used by a user to input various operation signals. The display device 306 is, for example, a display, and displays a processing result by the computer 300. Note that the input device 305 and / or the display device 306 may be connected and used when necessary.

  The communication I / F 307 is an interface for connecting the computer 300 to the network 104. The external I / F 308 is an interface with an external device. The external device includes a recording medium 308a. Accordingly, the computer 300 can read and / or write the recording medium 308a via the external I / F 308. The recording medium 23a includes, for example, various optical disks and various memory cards.

<Functional configuration>
Next, a functional configuration of the information processing system 100 according to the present embodiment will be described.

  FIG. 43 is a functional configuration diagram of an information processing system according to an embodiment.

(Functional configuration of information providing server)
The information providing server 101 executes, for example, a predetermined program by the computer 300 shown in FIG. In addition, a storage unit 406 and the like are realized.

  The information collection unit 401 collects a plurality of information related to a predetermined field from information disclosed by a plurality of accounts. For example, the information collection unit 401 collects a plurality of posts including keywords related to a predetermined field (hereinafter referred to as a theme) from a plurality of posts published on the SNS provided by the SNS server 103.

  For example, the information collection unit 401 collects information including a keyword related to a predetermined theme from posts published on the SNS provided by the SNS server 103 using the Web API 421 provided by the SNS server 103. .

  The Web API 421 is an API (Application Programming Interface) for using services and software provided by the SNS server 103 from other programs (for example, programs operating on the information providing server 101) through the Web. For example, Twitter (registered trademark) provides various services such as searching for tweets, acquiring retweeted user IDs (accounts), acquiring user retweets, and the like as a Twitter API.

  Preferably, the information collection unit 401 collects, for example, about 500 (or more) pieces of information in which a predetermined operation is performed a predetermined number of times (for example, 20 times) among information including keywords related to a predetermined theme. To do.

  The predetermined operation includes, for example, an operation of re-sending or re-posting a post such as “Retweet (RT)” of Twitter, “Share” of Facebook (registered trademark), and the like.

  In addition, the predetermined operation may include an operation for making a comment or the like on the post.

  Furthermore, the predetermined operation may include an operation of giving information indicating that the posting is recommended or information indicating that it is a favorite, such as “Like” of Facebook, for example. good.

  Thus, the predetermined operation includes various operations performed by the user on useful information.

  The account specifying unit 402 specifies an account for which a predetermined operation (for example, retweeting) has been performed on a plurality of posts collected for each theme by the information collecting unit 401. For example, the account specifying unit 402 acquires, for example, the Web ID 421 provided by the SNS server 103 and the like for the user ID and the like of the account that performed a predetermined operation for each post collected by the information collecting unit 401. To do.

  The representative account determination unit 403 determines a plurality of representative accounts for each theme based on the number of times a predetermined operation (for example, retweeting) is performed from among the accounts specified by the account specifying unit 402.

  Preferably, the representative account determination unit 403 determines an account of, for example, about 70 to 100 users who have performed a predetermined operation on each theme as a representative account for each theme. Thereby, the representative account determination unit 403 can determine a frequent person (connoisseur) who frequently performs a predetermined operation on each theme as a representative account of each theme.

  The information extraction unit 404 uses a SNS provided by the SNS server 103 to post a post that has been subjected to a predetermined operation (for example, retweet) by a plurality of representative accounts for each theme from posts published by a plurality of accounts. Extract. The representative account for each theme is a frequent person who frequently performs a predetermined operation on each theme, so posts that have been subjected to a predetermined operation by multiple representative accounts are posts related to the theme to which multiple representative accounts belong. It is believed that there is.

  In addition, the information extraction unit 404 stores the extracted posts as extraction information 408 in the storage unit 406 for each theme, for example.

  The information providing unit 405 provides information extracted for each theme by the information extracting unit 404 as information related to each theme. For example, the information providing unit 405 provides the information terminal 102 with the extracted information 408 corresponding to the theme selected by the information terminal 102.

  Or the information provision part 405 may give the tag information for a search containing the keyword relevant to each theme to the information extracted for every theme by the information extraction part 404, etc.

(Functional configuration of information terminal)
The information terminal 102 implements, for example, a display control unit 411, an operation reception unit 412, and the like by executing a predetermined program by the computer 300 illustrated in FIG.

  The display control unit 411 displays various display screens on the display device 306 of the information terminal 102 or the like. For example, the display control unit 411 causes the display device 306 of the information terminal 102 to display a theme selection screen for selecting a theme for which information is to be displayed from among a plurality of themes for which the information providing server 101 provides information. Further, the display control unit 411 displays a display screen based on information (extracted information, etc.) received from the information providing server 101 via the communication I / F 307 of the information terminal 102 on the display device 306 of the information terminal 102. Let

  The operation reception unit 412 performs an input operation by the user and performs various processes according to the input operation.

(SNS server)
In the present embodiment, it is assumed that the SNS server 103 uses an external SNS server such as Twitter. The SNS server 103 provides a Web API 421 for using various services provided by the SNS server 103 from an external program (for example, a program operating on the information providing server 101).

<Process flow>
Next, processing of the information processing system 100 according to the present embodiment will be described.

(Information extraction process)
FIG. 5 is a flowchart illustrating an example of extraction processing of the information providing server according to the embodiment.

  In step S501, the information collection unit 401 of the information providing server 101 collects a plurality of posts related to a predetermined theme from information disclosed by a plurality of accounts in the SNS provided by the SNS server 103, for example. .

  Preferably, the information providing server 101 stores theme information 407 as illustrated in FIG. 6 in the storage unit 406 in advance, and the information collection unit 401 uses a keyword stored in the theme information 407 to perform a predetermined process. Collect 500 or more posts related to the theme.

  FIG. 6 is a diagram illustrating an example of theme information according to an embodiment. In the example of FIG. 6, the theme information 407 includes items such as “theme ID”, “theme name”, and “keyword” as items.

  “Theme ID” is identification information for identifying a plurality of predetermined themes. “Theme name” is the name of each theme. “Keyword” is a keyword for searching for posts related to each theme. For example, the information collection unit 401 collects posts related to each theme by combining “keywords”, for example, from the SNS server 103 using the Web API 421.

  At this time, the information collection unit 401 acquires, for example, the number of times that a predetermined operation has been performed on each collected post using the Web API 421 from the SNS server 103, and the predetermined number of times (for example, 20 times) or more. It may be one that collects posts for which a predetermined operation has been performed.

  In step S502, the account specifying unit 402 of the information providing server 101 specifies an account that has performed a predetermined operation on each post collected in step S501.

FIG. 7 is a diagram for explaining an example of processing of the account specifying unit according to the embodiment.
In the example of FIG. 7, the posts (post 1, post 2,...) Collected in step S501 are listed for each theme ID, and “predetermined operation has been performed for each post”. “Number of times” and “User ID that performed a predetermined operation” are shown.

  For each posting, the account specifying unit 402 acquires the user ID of an account that has performed a predetermined operation (for example, retweet) using, for example, the Web API 421 from the SNS server 103, and the “user who performed the predetermined operation” in FIG. ID ”. Thereby, the user ID that has performed a predetermined operation on each post is specified. The user ID is an example of an account. In the example of FIG. 7, the collected posts are arranged in the order in which the predetermined operation is performed on each post in the descending order. However, this is a preferable example and is not essential.

  In the example of FIG. 7, the accounts with the user IDs “user001” and “user004” frequently perform in the theme (interior) of the theme ID “T0001” because a predetermined operation is performed on a plurality of posts. Can be presumed to be an account.

  In step S503, the representative account determination unit 403 of the information providing server 101 selects a plurality of representative accounts in each theme based on the number of times that a predetermined operation (for example, retweet) is performed from the accounts specified in step S502. decide.

  FIG. 8 is a diagram for explaining an example of processing of the representative account determination unit according to the embodiment. In the example of FIG. 8, user IDs are arranged in descending order of the number of times that a predetermined operation (for example, retweet) has been performed for each theme. Note that the “number of times that the predetermined operation has been performed” may be the number of times the user has appeared in the “user ID that has performed the predetermined operation” in FIG. 7, or the representative account determination unit 403 may, for example, May be acquired from the Web API 421.

  For example, in FIG. 8, the representative account determination unit 403 assigns a predetermined number (for example, about 70 to 100 users) of user IDs in each theme in order from the user ID (account) having a large number of predetermined operations. Determine as multiple representative accounts.

  In step S504, the information extraction unit 404 of the information providing server 101 performs a predetermined operation using a plurality of representative accounts determined in step S503 from information disclosed on the SNS provided by the SNS server 103 or the like. Extract information.

  FIG. 9 is a diagram for explaining an example of processing of the information extraction unit according to an embodiment. In the example of FIG. 9A, posts are arranged in the descending order of the number of representative accounts for each theme that has been subjected to a predetermined operation, from the entire posted posts.

  The information extraction unit 404 can use, for example, the Web API 421 of the SNS server 103 to acquire information on a post in which each representative account has performed a predetermined operation (for example, retweeting). The information extraction unit 404 creates information as shown in FIG. 9A by totaling information of posts for which a predetermined operation has been performed by each representative account.

  In FIG. 9A, the information extraction unit 404 extracts a predetermined number, for example, about 30 to 200 posts per day, for which a predetermined operation has been performed by a plurality of representative accounts. For example, in FIG. 9A, the information extraction unit 404 extracts a predetermined number of posts in descending order of the number of representative accounts that have performed a predetermined operation.

  At this time, the extracted posts are posts that have been subjected to a predetermined operation in common by a plurality of representative accounts that frequently perform a predetermined operation (for example, retweets) on each theme. Is likely. Also, at this time, the extracted information includes, for example, a post that does not include a keyword related to each theme as shown in FIG. 2B, a post that contains only an image as shown in FIG. Is also included.

  As described above, according to the information processing system 100 according to the present embodiment, it is possible to easily extract posts related to a predetermined theme from a plurality of posts including posts that do not include a keyword related to a predetermined theme. Become.

  As another example, in the example of FIG. 9B, posts are arranged in descending order of the number of times that a predetermined operation has been performed by the representative account for each theme from among the published posts. For example, as illustrated in FIG. 9B, the information extraction unit 404 may extract a predetermined number of posts in descending order of the predetermined number of operations by the representative account of each theme.

  In short, the information extraction unit 404 only needs to extract a predetermined number of posts for which a predetermined operation (for example, retweeting) has been performed by a plurality of representative accounts of each theme from all published posts. .

(Information provision process)
FIG. 10 is a sequence diagram illustrating an example of information providing processing according to an embodiment. At the start of the processing in FIG. 10, the information providing server 101 extracts a plurality of posts related to each theme by the information extraction processing shown in FIG. 5, and stores it as extracted information 408 in the storage unit 406. It shall be. In the information terminal 102, it is assumed that a program corresponding to the information processing system 100 is operating.

  In step S1001, the user of the information terminal 102 performs a call operation on the theme selection screen.

  In step S <b> 1002, when the information terminal 102 receives a call operation of the theme selection screen by the user through the operation reception unit 412, the display control unit 411 displays the theme selection screen 1101 as illustrated in FIG. 102 is displayed on the display device 306 or the like.

  In the example of FIG. 11A, for example, a plurality of themes 1102 corresponding to the theme information 407 shown in FIG.

  In step S1003, the user performs a theme selection operation. Here, it is assumed that the user selects, for example, “interior” 1103 on the theme selection screen 1101 shown in FIG.

  In step S1004, the operation reception unit 412 of the information terminal 102 provides an extraction information acquisition request including the theme ID “T0001” corresponding to the theme “interior” selected by the user via the communication I / F 307. Send to server 101.

  In step S <b> 1005, when the information providing server 101 receives an extraction information acquisition request from the information terminal 102, the information providing unit 405 extracts the extraction information corresponding to the requested theme ID “T0001” from the information terminal 102. Read from 408.

  In step S1006, the information providing unit 405 of the information providing server 101 transmits the extracted extracted information (theme ID “T0001”) to the requesting information terminal 102 via the communication I / F 307 of the information providing server 101. .

  In step S1007, when the information terminal 102 receives the extracted information from the information providing server 101, the display control unit 411 displays a display screen 1201 as shown in FIG. 102 is displayed on the display device 306 or the like.

  In the example of FIG. 12A, the display screen 1201 displays a plurality of posts related to “interior” that is the theme selected by the user. The plurality of posts include, for example, an image-only post 1203, a post 1204 that does not include a keyword related to the theme, and the like.

  Preferably, the display screen 1201 includes a display 1202 indicating the date and time corresponding to the post displayed on the display screen 1201. For example, the user can browse posts at other times by scrolling the display screen 1201 by dragging or swiping the display 1202 indicating the date and time up or down. Further, the user can call up a calendar selection screen by selecting (tapping or long-pressing) the display 1202 indicating the date and time.

  In step S1008, the user performs a call operation on the calendar screen by selecting the display 1202 indicating the date and time.

  In step S1009, when the operation receiving unit 412 of the information terminal 102 receives a calendar screen reading operation by the user, the display control unit 411 displays a calendar screen 1104 as shown in FIG. It is displayed on the display device 306 or the like. The user can call the extracted information corresponding to the selected date by selecting the date on the calendar screen 1104.

  In step S <b> 1010, the user performs a date selection operation using the displayed calendar screen 1104.

  In step S <b> 1011, the operation reception unit 412 of the information terminal 102 sends an extraction information acquisition request including the date selected by the user and the current theme ID “T0001” via the communication I / F 307. Send to.

  In step S <b> 1012, when the information providing server 101 receives the extraction information acquisition request from the information terminal 102, the information providing unit 405 stores the extracted information corresponding to the requested date and theme ID “T0001” in the storage unit 406. From the extracted information 408.

  In step S 1013, the information providing unit 405 of the information providing server 101 sends the extracted information (the theme ID “T0001 of the specified date) to the requesting information terminal 102 via the communication I / F 307 of the information providing server 101. )).

  In step SS1014, when the information terminal 102 receives the extracted information from the information providing server 101, the display control unit 411 displays the extracted information of the selected date based on the received extracted information on the display device 306 of the information terminal 102. Etc.

  As described above, according to the information processing system according to the present embodiment, it is possible to extract a post related to a predetermined theme from a plurality of posts including a post that does not include a keyword related to the predetermined theme, and provide it to the user. It becomes like this.

  Note that the present invention is not limited to the specifically disclosed embodiments, and various modifications and changes can be made without departing from the scope of the claims.

  For example, in the above embodiment, the information providing server 101 has been described with respect to an example in which the posting provided by the external SNS server 103 is used. However, the information providing server 101 has the function of the SNS server 103. You may do it.

  Further, the information providing unit 405 may add tag information for search as shown in FIG. 12B to the posts extracted for each theme extracted by the information extracting unit 404, for example. good. In the example of FIG. 12B, the comment on the post 1205 does not include a keyword related to the theme “interior” as in the post in FIG. 2B, but “interior” given by the information providing unit 405 ”,“ Furniture ”and the like tag information 1206 for search.

  This search tag information 1206 makes it possible to search for posts that do not include a keyword related to the theme, for example, as shown in FIGS. 2B and 2C, using keywords related to the theme. That is, it becomes possible to extract posts related to a predetermined theme from a plurality of posts including posts that do not include a keyword related to a predetermined theme.

DESCRIPTION OF SYMBOLS 100 Information processing system 101 Information provision server 102 Information terminal 103 SNS server 401 Information collection part (collection means)
402 Account identification part (identification means)
403 Representative account determination unit (determination means)
404 Information extraction unit (extraction means)
405 Information Department

Claims (21)

An information extraction method for extracting predetermined information from information published by a plurality of accounts,
Computer
A collecting step of collecting a plurality of pieces of information related to a predetermined field from the published information;
A specific step of identifying an account that has performed a predetermined operation on the collected information;
A determining step of determining a plurality of representative accounts in the predetermined field based on the number of times the predetermined operation is performed from the identified accounts;
An extraction step of extracting information on which the predetermined operation has been performed by a plurality of the representative accounts from the publicized information;
Information extraction method. The collecting step includes
The information extraction method according to claim 1, wherein information including a keyword related to the predetermined field is collected from the published information. The collecting step includes
The information extraction method according to claim 2, wherein information including the keyword related to the predetermined field is collected by performing the predetermined operation a predetermined number of times or more. The predetermined operation is:
The information extraction method according to claim 1, further comprising an operation of retransmitting or reposting the collected information. The predetermined operation is:
The information extraction method according to any one of claims 1 to 4, further comprising an operation of commenting on the collected information. The predetermined operation is:
The information extraction method according to claim 1, further comprising an operation of adding information indicating recommendation or information indicating a favorite to the collected information. The determining step includes
The information extraction method according to any one of claims 1 to 6, wherein, among the accounts specified in the specifying step, an account having a large number of times of performing the predetermined operation is determined as the plurality of representative accounts. The extraction step includes
The information extraction method according to claim 1, wherein information having a large number of the representative accounts that have performed the predetermined operation is extracted from the disclosed information. The extraction step includes
The information extraction method according to any one of claims 1 to 7, wherein information having a large number of times the predetermined operation is performed by the representative account is extracted from the disclosed information.   The information extraction method according to any one of claims 1 to 9, further comprising an information providing step of providing the information extracted by the extraction step as information related to the predetermined field.   The program for making a computer perform the information extraction method as described in any one of Claims 1 thru | or 10. An information processing apparatus that processes information published by a plurality of accounts,
A collecting means for collecting a plurality of pieces of information related to a predetermined field from the disclosed information;
Identifying means for identifying an account that has performed a predetermined operation on each of the collected information;
Determining means for determining a plurality of representative accounts in the predetermined field based on the number of times the predetermined operation is performed from among the specified accounts;
Extraction means for extracting information on which the predetermined operation has been performed by a plurality of the representative accounts from the published information;
An information processing apparatus. The collecting means includes
The information processing apparatus according to claim 12, wherein information including a keyword related to the predetermined field is collected from the disclosed information. The collecting means includes
The information processing apparatus according to claim 13, wherein information including a keyword related to the predetermined field is collected for information on which the predetermined operation is performed a predetermined number of times. The predetermined operation is:
The information processing apparatus according to any one of claims 12 to 14, including an operation of retransmitting or reposting the collected information. The predetermined operation is:
The information processing apparatus according to claim 12, further comprising an operation for commenting on the collected information. The predetermined operation is:
The information processing apparatus according to any one of claims 12 to 16, comprising an operation of adding information indicating recommendation or information indicating favorite to the collected information. The determining means includes
The information processing apparatus according to any one of claims 12 to 17, wherein among the accounts specified by the specifying means, an account having a large number of times of performing the predetermined operation is determined as the plurality of representative accounts. The extraction means includes
The information processing apparatus according to any one of claims 12 to 18, wherein information having a large number of the representative accounts that have performed the predetermined operation is extracted from the published information. The extraction means includes
The information processing apparatus according to any one of claims 12 to 19, wherein information having a large number of times the predetermined operation is performed by the representative account is extracted from the disclosed information.   The information processing apparatus according to any one of claims 12 to 20, further comprising an information providing unit that provides information extracted by the extracting unit as information related to the predetermined field.

Images