JP7278100B2 - Post evaluation system and method - Google Patents

Description

The present invention relates to a post evaluation system and method for evaluating posts on a communication network.

If you receive a negative evaluation on SNS (Social Networking Service) and get overwhelmed by criticism, you will suffer various damages, such as losing credibility regardless of whether you are an individual or a corporation. In order to prevent this, there is known a technique of predicting in advance whether or not the content posted to the SNS will receive a negative evaluation, thereby avoiding the negative evaluation.

For example, in Patent Literature 1, before a user posts to an SNS, a database (hereinafter referred to as a DB) containing cases in which other users have received negative evaluations in the past is referred to, and similar cases exist. In this case, the technology for rejecting submissions is described.

JP 2015-170065 A

The system described in the prior art is a system that stops posting when it is expected that the content of a text that a user is about to post on an SNS will receive a negative evaluation, in comparison with cases of negative evaluation in the past. is.

However, today, when the number of SNS users has increased dramatically compared to the past, there are not only things that users do not expect, but also completely new patterns (patterns that are not registered in the database described in Patent Document 1) that have no examples in the past and are negative. may be evaluated.

Moreover, even if there are cases in which negative evaluations have been received in the past, negative evaluations are not necessarily received if the user's status, such as the social standing of the user, differs.

An object of the present invention is to evaluate posting schedule information by associating it with one or more evaluation items that indicate factors that may result in a negative evaluation of the posting.

In order to solve the above-described problems, the present invention provides a post evaluation server that transmits and receives information via a plurality of communication terminals connected to a communication network and the communication network, and information managed by the post evaluation server. a storage device that associates and stores information on one or more evaluation items indicating factors that may cause a negative evaluation in a post to the communication network and one or more negative words, and a receiving means for receiving posting schedule information including character information scheduled to be posted on the communication network from one of the plurality of communication terminals; a first keyword extracting means for extracting one or more first keywords; referring to the storage device based on the first keywords extracted by the first keyword extracting means; determines whether or not corresponds to the negative word, and if the first keyword corresponds to the negative word, selects an evaluation item corresponding to the first keyword from among the one or more evaluation items. and determining whether or not the content of the scheduled posting information is likely to receive the negative evaluation based on at least the management contents of the first negative word determining means. and posting evaluation determination means.

According to the present invention, it is possible to evaluate information to be posted in association with one or more evaluation items indicating factors that may result in a negative evaluation of the posting.

1 is a configuration diagram showing the overall configuration of a communication network system according to this embodiment; FIG. 2 is a configuration diagram showing a software configuration of a post evaluation server according to the embodiment; FIG. 3 is a configuration diagram of a negative word DB according to the embodiment; FIG. FIG. 4 is a configuration diagram of information related to negative evaluation factors according to the present embodiment; 4 is a flowchart for explaining the overall processing of the post evaluation server according to the embodiment; FIG. 4 is an explanatory diagram for explaining processing of a keyword decomposition unit according to the embodiment; FIG. 10 is an explanatory diagram for explaining matching evaluation processing of the negative word determination means according to the present embodiment; FIG. 10 is an explanatory diagram for explaining a process of selecting negative evaluation factors for posting by negative word determination means according to the present embodiment; FIG. 10 is a flowchart for explaining negative article search processing of the post evaluation server according to the present embodiment; FIG. FIG. 4 is a configuration diagram showing a display example of an article search screen according to the embodiment; FIG. 4 is a configuration diagram showing a display example of an in-article screen according to the present embodiment; FIG. 4 is a configuration diagram of tables according to the present embodiment, in which (a) is a configuration diagram of an article evaluation table, and (b) is a configuration diagram of a negative article table; FIG. 10 is a flowchart for explaining a process of collating personal information of the post evaluation server according to the present embodiment; FIG. FIG. 4 is a configuration diagram of tables according to the present embodiment, where (a) is a configuration diagram of a person information table, and (b) is a configuration diagram of a person's negative evaluation factor table. FIG. 10 is a configuration diagram of an article synthesis and person's affinity negative evaluation factor table according to the present embodiment; FIG. 11 is a configuration diagram of a final evaluation table of negative evaluation factors for posts according to the present embodiment; FIG. 4 is a configuration diagram showing a display example of an evaluation result screen according to the present embodiment;

An embodiment according to the present invention will be described below with reference to FIGS. 1 to 17. FIG.

FIG. 1 is a configuration diagram showing the overall configuration of a communication network system according to this embodiment. In FIG. 1 , a communication network system 1 includes a mobile terminal (smartphone) 10 , a personal computer (hereinafter sometimes referred to as PC) 12 , servers 14 and 16 and a post evaluation system 18 . A mobile terminal 10 , a personal computer (PC) 12 , servers 14 and 16 , and a post evaluation system 18 are connected to each other via a communication network (public communication network) such as the Internet 20 . The servers 14 and 16 are, for example, computer devices having information processing resources such as CPUs (Central Processing Units), memories, and input/output interfaces. The server 14 is a server that manages information on net articles and blogs. The server 16 is a server that manages information regarding SNS services. The information managed by the servers 14 and 16 can also be put into a database. User a can use the mobile terminal 10 to post information about SNS on the Internet 20 . User b can use the PC 12 to post information about SNS on the Internet 20 .

The post evaluation system 18 is composed of, for example, a computer device having a CPU, an input device, an output device, a communication device, and a storage device. The CPU is configured as a central processing unit that centrally controls the operation of the entire device. The input device consists of a keyboard or mouse, and the output device consists of a display (display device) or printer. The communication device also includes a NIC (Network Interface Card) for connecting to a wireless LAN or wired LAN. Further, the storage device is composed of storage media such as RAM (Random Access Memory) and ROM (Read Only Memory).

At this time, the CPU is configured as the post evaluation server 30, and the storage device stores a negative word DB 40, a table management DB 50, and a net article DB 60 as databases. The post evaluation server 30 is connected to the negative word DB 40, the table management DB 50, and the net article DB 60, and is also connected to the Internet 20. FIG. Information on negative words is stored in the negative word DB 40 . The table management DB 50 stores information about various tables, which will be described later. The net article DB 60 stores information on net articles and blogs. Note that, in the present embodiment, any form of device does not matter as long as it is a means for connecting to the Internet 20 and posting to the SNS.

FIG. 2 is a configuration diagram showing the software configuration of the post evaluation server according to this embodiment. In FIG. 2, the post evaluation server 30 is a software resource executed by a CPU and stored in a storage device. Negative article search means 34 , personal information matching means 35 , post evaluation determination means 36 and transmission means 37 are provided. Network I/F 31 , keyword decomposition means 32 , negative word determination means 33 , negative article search means 34 , personal information collation means 35 , and post evaluation determination means 36 are connected to each other via transmission means 37 . The network I/F 31 is connected to the Internet 20 and configured as receiving means and transmitting means for transmitting and receiving information to and from communication terminals such as the mobile terminal 10 and the PC 12 and the servers 14 and 16 . The negative word determination means 33 is connected to the negative word DB 40 . The transmission means 37 is connected to a table management DB 50 and a net article DB 60 (not shown). Also, the post evaluation server 30 can be configured with hardware resources.

FIG. 3 is a configuration diagram of a negative word DB according to this embodiment. In FIG. 3, a negative word table 70 and a negative combination table 80 are stored in the negative word DB.

The negative word table 70 consists of # 71 , negative words 72 and negative evaluation factors 73 . #71 is a number (identifier) that uniquely identifies a negative word. Numbers such as "23" and "974" are stored in #71. The negative word 72 is character information specifying a negative word. In the negative word 72, for example, information of "○○○" is stored as the negative word 72 corresponding to "23" of #71. The negative evaluation factor 73 is information that specifies the factors by which negative words are evaluated as negative. The negative evaluation factor 73 stores, for example, information of "reference to sensitive issues" as the negative evaluation factor 73 corresponding to "23" of #71.

The negative combination table 80 is a table for managing words of negative combinations corresponding to negative evaluation factors among negative combinations of general words, and is composed of #81, negative combinations 82, and negative evaluation factors 83. be done. #81 is a number (identifier) that uniquely identifies a negative combination. Numbers such as "34" and "88" are stored in #81. A negative combination 82 is information on a plurality of words (general words) belonging to a negative combination. The negative combination 82 is composed of, for example, "word 1" to "word*". "Word 1" stores, for example, "○○△" information. The negative evaluation factors 83 are the same information as the negative evaluation factors 73 of the negative word table 70 .

When constructing the negative word table 70 and the negative combination table 80, an image similar to that of the negative word table 70 and the negative combination table 80 is displayed on the screen of the display device, and the administrator of the post evaluation system 18, etc. operates the input device to record information in each column of the negative word table 70 and the negative combination table 80 of the image displayed on the screen of the display device.

FIG. 4 is a configuration diagram of information related to negative evaluation factors according to the present embodiment. In FIG. 4, the information about the negative evaluation factor 73 consists of #73A and factor 73B. #73A is a number (identifier) that uniquely identifies a negative evaluation factor. #73A stores the numbers "1", "2", "3", "4", and "5" if, for example, there are five types of items (evaluation items) that cause negative evaluation. .

The factor 73B is information indicating a factor that may result in a negative evaluation in posting to the SNS. If there are five types of items (evaluation items) belonging to the negative evaluation factors, the factors 73B include "anti-social behavior" and "delicate problems" corresponding to #73A "1" to "5". Information of "mention", "negative/extreme statement", "unauthorized disclosure of information of others", and "stealth marketing/profit inducement" is stored as information related to items (evaluation items). In addition, stealth marketing means advertising without the consumer noticing that it is an advertisement. Also, the information about the negative evaluation factors 83 is the same as the information about the negative evaluation factors 73 . In the present invention, five factors are exemplified, but other factors can be replaced, added, or deleted without departing from the spirit of the invention.

FIG. 5 is a flowchart for explaining the overall processing of the post evaluation server according to this embodiment. In FIG. 5, when the network I/F 31 of the post evaluation server 30 receives information from the Internet 20, the network I/F 31 accepts input of the information (S1). The network I/F 31 transfers the received information, for example, the content that the user a is planning to post to the SNS, to the keyword decomposition means 32 .

The keyword decomposing means 32 decomposes the information received by the network I/F 31 into keywords (S2). As shown in FIG. 6, the keyword decomposition means 32 inserts "○○ ○ is △△△, so it's XXX!!", for example, morphological analysis is performed on the received information 10A, particles and conjunctions are removed from the character information, and keywords are , "○○○", "△△△", and "XXX", and stores the extracted keywords as first keywords in the keyword table 90. . The keyword table 90 is a table stored in the table management DB 50, and is composed of #91 and keyword 92. FIG. At this time, the keywords "○○○", "△△△", and "XXX" are stored in the columns of keywords 92 corresponding to "1" to "3" of #91.

Next, referring back to FIG. 5, the negative word determination means 33 determines whether or not each keyword extracted by the keyword decomposition means 32 is a negative word based on the processing result of the keyword decomposition means 32. A determination is made as to whether or not the keyword can be a factor for receiving a negative evaluation (S3).

For example, as shown in FIG. 7, the negative word determination means 33 performs matching evaluation between the information in the keyword table 90 and the information in the negative word table 70, and each keyword extracted by the keyword decomposition means 32 is a negative word. It is determined whether or not. In this case, "○○○" belonging to the keyword 92 corresponding to "1" of #91 in the keyword table 90 is "○○○ ”, and the negative evaluation factor 73 is “reference to sensitive issues”, which is evaluated as a negative word. Also, "xxx" belonging to the keyword 92 corresponding to "3" in #91 of the keyword table 90 is "xxx" belonging to the negative word 72 corresponding to "974" in #71 of the negative word table 70. , and the negative evaluation factor 73 includes "negative remark/extreme remark", which is evaluated as a negative word.

Thereafter, as shown in FIG. 8, the negative word determination means 33 selects negative evaluation factors for the content to be posted based on the received information 10A received by the network I/F 31, and based on the selected content, It is determined whether or not there is a negative evaluation factor based on the keyword, and the determination result is registered in the negative evaluation factor table 100 based on the keyword. The keyword-based negative evaluation factor table 100 is composed of #101, factor 102, and determination 103. FIG. #101 is a number (identifier) that uniquely identifies a factor of negative evaluation by a keyword. The factor 102 stores the same information as the information belonging to the factor 73B of the negative evaluation factors 73 . The judgment 103 stores information of "-" indicating "yes" or "no" as a judgment result as to whether or not there is a factor of negative evaluation by the keyword.

Here, the negative word determination means 33, for example, the keyword "○○○ ", "XXX" correspond to the negative words "○○○" and "XXX" belonging to the negative word 72, respectively, and the negative evaluation factors 73 are "reference to sensitive issues" and "negative In the case of "remarks/extreme remarks", in the determination 103, in the columns corresponding to the factors 102 "referring to sensitive issues" and "negative remarks/extreme remarks", the selection result of the negative evaluation factor for the post is displayed. , register the information of "Yes". At this time, the negative word determination means 33 refers to the storage device based on the keyword (first keyword) extracted by the keyword decomposition means 32, determines whether the keyword corresponds to the negative word 72, When the keyword corresponds to the negative word 72, it is configured as first negative word determination means for selecting and managing an evaluation item corresponding to the keyword from items (evaluation items) of the negative evaluation factors 73. FIG.

Next, returning to FIG. 5, the negative article search means 34 searches the Internet for negative articles related to the keyword (S4). FIG. 9 shows specific contents of step S4.

FIG. 9 is a flowchart for explaining negative article search processing of the post evaluation server according to the present embodiment. In FIG. 9, the negative article search means 34 uses the information of the keywords 92 stored in the keyword table 90 to search for articles related to the keywords 92 via the Internet 20 (S41), and the search results are displayed as net articles. While storing in DB60, as shown in FIG. 10, it displays on the article search screen 200 of a display device (display). At this time, the negative article search means 34 executes a search using the Internet 20 based on the keyword (first keyword) extracted by the keyword decomposition means 32, and finds articles related to the keyword, one or more It is configured as a retrieval means for retrieving information on a plurality of articles including comments from users.

In FIG. 10, information about the keywords extracted by the keyword decomposition means 32 is displayed in the keyword display area 201 of the article search screen 200 of the display device. For example, if the reception information 10A received by the network I/F 31 = "○○○ is △△△, so it is XXX!!", the keywords are "○○○", "△△△", "× XX” information is displayed. Further, in the article display area 202 of the article search screen 200, information on a plurality of articles A, B, C, D, . . . are displayed as articles related to the keyword. The article display area 202 of the article search screen 200 displays the top 10 articles (A to J) among the plurality of searched articles as articles related to the keyword.

After that, the negative article search means 34 displays the search results and information about the list of comments from the user on the in-article screen 210, as shown in FIG. For example, the negative article search means 34 displays information about article A in the article display area 211 of the article screen 210, and information about a list of comments from user a and user b in the comment display area 212 of the article screen 210. display. Note that in the article display area 211 of the intra-article screen 210, information on the top ten articles (A to J) among the retrieved articles is displayed in order. Articles for which there is no list of user comments are excluded from the search.

Next, referring back to FIG. 9, the keyword decomposition means 32 takes in the search results of the negative article search means 34, and the comments belonging to the article A displayed in the article display area 211 of the article screen 210 are the comments from the user. The list of comments is subjected to in-article keyword decomposition processing for decomposing into keywords (S42), and the processing result is transferred to the negative word determination means 33. FIG. At this time, the keyword decomposition means 32 is configured as a second keyword extraction means for extracting one or more keywords (second keywords) from information on a plurality of articles obtained by the search by the negative article search means 34. be.

The negative word determination unit 33 executes an in-article negative word determination process to determine whether or not a negative word exists in the keywords extracted in the in-article keyword decomposition process (S43). At this time, as shown in the article evaluation table 110 of FIG. It is determined whether or not it corresponds to the negative word corresponding to the negative word, and the comment including the keyword determined as a negative word is determined as a negative comment. "Yes" is registered in this column. The negative word judgment means 33 refers to the storage device based on the keyword (second keyword) extracted by the keyword decomposition means (second keyword extraction means) 32, and determines whether the keyword corresponds to a negative word. is determined for each of a plurality of articles, and the result of determination is managed in association with the evaluation item 112. If there is no comment including the keyword in each article, information of "-" indicating no comment is registered in the column of the article 113 as a determination result.

The article evaluation table 110 includes #111, evaluation item 112, article 113, and negative evaluation value 114. FIG. "1" to "5" of #111 are numbers (identifiers) that uniquely identify the factors belonging to the evaluation item 112, and "6" of #111 is a number (identifier) that identifies the negative evaluation value 114. be. The evaluation item 112 stores the same information as the information belonging to the factor 73B of the negative evaluation factors 73 . The articles 113 are articles related to the Internet 20, and are composed of the top ten articles A to J among the plurality of searched articles. Each article A to J has five types of factors ("anti-social behavior", "reference to sensitive issues", "negative/extreme remarks", "unauthorized disclosure of information about others", "stealth marketing/ Profit inducement”), the determination result as to whether or not there is a negative word is stored as information of “-” indicating “present” or “not present”. In the column of the article 113 corresponding to the negative evaluation value 114, information on the negative evaluation value of each article A to J is stored as a numerical value (integer).

At this time, the negative word determination means 33 calculates the negative evaluation value 114 as the evaluation result for the articles A to J, and registers the calculation result in the columns of the articles A to J corresponding to the negative evaluation value 114 . The negative evaluation value 114 is, for example, the number of negative comments (comments determined to be negative comments in the negative word determination process in the article) and the total number of comments (comments from users belonging to the comment list). (total number)) and calculated on a scale of 1 to 10. If the number of negative comments is 90, the total number of comments is 100, and 90/100=0.9, the negative evaluation value 114 is calculated as 9.

Next, referring back to FIG. 9, the negative word determination means 33 selects five types of factors (“anti-social behavior”, “anti-social behavior”, "Reference to sensitive issues", "Negative/extreme remarks", "Unauthorized disclosure of information of others", "Stealth marketing/profit inducement") has at least one "yes" information It is determined whether or not, based on the determination result, the negative article table 120 is created (S44), and the processing of this routine ends. In this case, the negative word determining means 33 creates a negative article table 120 in which an item of general article 124 is added to the information recorded in the article evaluation table 110 .

The negative article table 120 consists of #121, evaluation items 122, articles 123, general articles 124, and negative evaluation values 125, as shown in FIG. 12(b). "1" to "5" of #121 are numbers (identifiers) that uniquely identify the factors belonging to the evaluation item 122, and "6" of #121 is a number (identifier) that identifies the negative evaluation value 125. be. The evaluation item 122 stores the same information as the information belonging to the factor 73B of the negative evaluation factors 73 . The article 123 is composed of articles belonging to the article 113 and having a negative evaluation value 114 equal to or greater than the threshold "6". Each article A to J has five types of factors ("anti-social behavior", "reference to sensitive issues", "negative/extreme remarks", "unauthorized disclosure of information about others", "stealth marketing/ Profit inducement”), the determination result as to whether or not there is a negative word is stored as information of “-” indicating “present” or “not present”. The article synthesis 124 stores the determination result as to whether or not there is a negative word in each article with respect to five types of factors as "-" information indicating "presence" or "absence". In the column of article 123 corresponding to the negative evaluation value 125, information on the negative evaluation value of each article A to J is stored as a numerical value (integer).

Here, the negative word determination means 33 selects five types of factors (“anti-social behavior”, “sensitive problem”) from the evaluation items 122 for each article having a negative evaluation value 114 of “6” or more. "Reference", "Negative/extreme remarks", "Unauthorized disclosure of information of others", "Stealth marketing/profit inducement"). , the determination result (“-” indicating “yes” or “no”) is registered in the column of general articles 124 of the negative article table 120 . In the present embodiment, in the negative article table 120, the sum of the factors of the negative evaluation of each article A to J is summarized as the information of the article synthesis 124. FIG. At this time, in the present embodiment, the factors for the negative evaluation of the comprehensive article 124 are "anti-social behavior", "reference to sensitive issues", and "negative/ It is an extreme statement.”

At this time, the negative word determination means 33 determines the total number of comments belonging to the plurality of articles and the number of negative comments among the comments belonging to the plurality of articles based on the plurality of articles retrieved by the negative article searching means 34. and calculating the negative evaluation value 114 for each of the plurality of articles based on the calculation result, and selecting a specific article whose calculation result is equal to or higher than the threshold "6" from among the plurality of articles, Summarize the judgment results on the selected specific article and manage them as judgment results on negative articles (information recorded in "article synthesis 124") in correspondence with the evaluation items, and transfer the management contents to the post evaluation judgment means 36; It is configured as second negative word determination means.

Next, returning to FIG. 5, the personal information collating means 35 executes the personal information collating process (S5), and then the post evaluation determination means 36 judges the post evaluation based on the result of the personal information collating process. Processing is executed (S6), evaluation result output processing is executed based on the post evaluation determination processing (S7), and then processing in this routine ends. That is, in step S5, it is determined whether or not the negative article is related to the user and the content to be posted by comparing the search result of the negative article with the personal information of the user. In step 6, it is tabulated whether or not the content to be posted by the user receives a negative evaluation, and which negative evaluation factor. In step S7, the post evaluation result is transmitted to the user's device via the network I/F31.

FIG. 13 shows specific contents of the personal information matching process in step S5. FIG. 13 is a flowchart for explaining the personal information matching process.

The personal information matching means 35 extracts the personal information about the person (user) from the information received via the Internet 20 from the personal information table 130 stored in the table management DB 50 as shown in FIG. 14(a). (S51). It should be noted that when the information of the personal information table 130 is managed by the server 16 , the information of the personal information table 130 can be retrieved from the server 16 .

The personal information table 130 is composed of # 121 , items 132 and set values 133 . #121 is a number (identifier) that uniquely identifies the item 132 . Item 132 stores information on "nationality", "age", "sex", "occupation", "religion", and "social position" corresponding to "1" to "6" of #131. be. The setting value 133 stores information of "Japan", "27", "male", "office worker", "-", and "ordinary person" corresponding to "1" to "6" of #131. be. The information stored in the personal information table 130 is information registered by the user in the post evaluation server 30 in advance, or information read by the post evaluation server 30 from the user's device (portable terminal or the like) via the network I/F 31 . be.

Next, the personal information matching means 35 determines the factors of the negative evaluation of the person based on the information in the personal information table 130, and based on the determination result, as shown in FIG. A factor table 142 is created (S52). When the information of the person's negative evaluation factor table 140 is managed by the server 16 , the information of the person's negative evaluation factor table 140 can be imported from the server 16 .

The user's negative evaluation factor table 140 is a table used by the user to determine negative evaluation factors that are likely to receive a negative evaluation in consideration of the user's own information. Configured. #141 is a number (identifier) that uniquely identifies the factor 142 . The factor 142 includes the same information as the information belonging to the factors of the evaluation items 112 in the article evaluation table 110 ("anti-social behavior", "reference to sensitive issues", "negative/extreme remarks", "other information "Unauthorized Disclosure" and "Stealth Marketing/Profit Induction") are stored corresponding to "1" to "5" of #141.

The determination 143 stores information of "-" indicating "yes" or "no" as the determination result of the person's negative evaluation factor for each factor. "Anti-social behavior" is determined for all users. "Reference to sensitive issues" is determined by considering the user's social standing. "Negative/extreme remarks" are determined in consideration of the user's age and social position. "Unauthorized disclosure of information of others" is determined for all users. "Stealth marketing/profit inducement" is determined in consideration of the user's occupation and social position.

The person's negative evaluation factor table 140 has a factor 142 as a negative evaluation item, similar to the negative evaluation factor table 100 by keyword. Information determined by the input contents of the personal information table 130 is registered in the determination 143 of each factor. In the example of this embodiment, since the set value 133 corresponding to the "social position item" belonging to the item 132 of the person information table 130 is "general person", among the factors 142 in the person's negative evaluation factor table 140, "References to sensitive issues" are out of the scope of the judgment and marked as "-". Suppose that the set value 133 corresponding to the item 132 of the person information table 130, which corresponds to the item 132 of the person's social standing, "celebrity" is registered. The column of judgment 143 corresponding to "mention of problem" stores information of "present".

Next, based on the information in the negative article table 120 and the information in the person's negative evaluation factor table 140, the person's information matching means 35 determines the overall article and the person's affinity negative evaluation factor, and based on the determination result, As shown in FIG. 15, an overall article/personal affinity negative evaluation factor table 150 is created.

The overall article/personal affinity negative evaluation factor table 150 consists of # 151 , factor 152 , and determination 153 .

#151 is a number (identifier) that uniquely identifies the factor 152 . The factors 152 include the same information as the information belonging to the factors of the evaluation items 112 of the article evaluation table 110 ("anti-social behavior", "reference to sensitive issues", "negative/extreme remarks", "other information "Unauthorized Disclosure" and "Stealth Marketing/Profit Induction") are stored corresponding to "1" to "5" of #151.

The same information as the information belonging to the article synthesis 124 of the negative article table 120 is stored in the article synthesis 154 corresponding to #151 "1" to "5". In the person 155, the same information as the information belonging to the determination 143 of the person's negative evaluation factor table 140 is stored corresponding to #151 "1" to "5". In the article synthesis person 156, there is information that is the determination result of the article synthesis and the person's affinity negative evaluation factor, and the condition (AND condition) is the logical product of the information belonging to the article synthesis 154 and the information belonging to the person 155. are stored corresponding to "1" to "5" of #151.

In the example of the present embodiment, the judgment 153 indicates that the "reference to sensitive issues" in the general article 154 is "yes", but the judgment 153 indicates that the "reference to sensitive issues" in the person 155 is not applicable. (“-”), the “reference to sensitive issue” in the article comprehensive person 156, which is the final judgment, is out of scope (“-”) in the judgment 153. FIG. In other words, in the example of the present embodiment, the negative evaluation factors contained in the negative articles as a result of searching from the keyword of the posted content are "anti-social behavior" and "negative/extreme There are two types of "remarks".

At this time, the personal information matching means 35 determines whether the personal information is a negative evaluation factor based on the personal information (information recorded in the personal information table 130) about the user who uses the communication terminal that is the transmission source of the scheduled posting information. (evaluation items) and records the determination result in the negative evaluation factor table 140 of the person.

Furthermore, the person information matching means 35 manages the information recorded in the person's negative evaluation factor table 140 and the management contents of the negative word judgment means 33, which are managed in association with the evaluation items as the judgment results regarding negative articles. Contents of management (information recorded in the negative article table 120 is compared, and from among the evaluation items, an evaluation item whose condition is the AND of the judgment result regarding the person's information and the judgment result regarding the negative article is selected and selected It is configured as comparison means for recording information on evaluation items in the article synthesis and person's affinity negative evaluation factor table 150 .

Next, returning to FIG. 13, the post evaluation determination means 36 executes the article comprehensive evaluation and comparison processing (S53), and then terminates the processing of this routine. At this time, the post evaluation determination means 36 makes a final evaluation of the negative evaluation factors of the post based on the information in the negative evaluation factor table 100 by keyword and the information in the overall article and the person's affinity negative evaluation factor table 150. Based on the execution result, as shown in FIG. 16, a post negative evaluation factor final evaluation table 160 is created. display on the screen.

The post negative evaluation factor final evaluation table 160 is composed of # 161 , factor 162 , and judgment 163 .

#161 is a number (identifier) that uniquely identifies the factor 162 . The factor 162 includes the same information as the information belonging to the factors of the evaluation items 112 in the article evaluation table 110 ("anti-social behavior", "reference to sensitive issues", "negative/extreme remarks", "other information "Unauthorized Disclosure" and "Stealth Marketing/Profit Induction") are stored corresponding to "1" to "5" of #161.

The keyword 164 stores the same information as the information of the judgment 103 of the negative evaluation factor table 100 by keyword corresponding to "1" to "5" of #161. The article general person 163 stores the same information as the information belonging to the article general person 156 in the article general/personal affinity negative evaluation factor table 150 corresponding to "1" to "5" of #161. The final evaluation 166 is the final evaluation of the negative evaluation factor of the post, and the information with the condition (OR condition) of the information belonging to the keyword 164 and the information belonging to the overall article person 165 is # 161 . are stored corresponding to "1" to "5".

In the example of the present embodiment, "anti-social behavior" in the keyword-based negative evaluation factor table 100 is out of scope ("-") in the judgment 103, but the overall article and the person's affinity negative evaluation Since the "anti-social behavior" in the factor table 150 is "present" in the judgment 153, the final evaluation 166 in the negative evaluation factor final evaluation table 160 of the post is "anti-social behavior", and the judgment 163 is: It says "yes". Information about the negative evaluation factor 162 that is “yes” in the determination 163 of the final evaluation 166 is transmitted to the user's device (portable terminal or the like) via the network I/F 31 . At this time, the network I/F 31 transmits, via the Internet 20, the determination results of the post evaluation determination means 36 and the information on the evaluation items selected by the post evaluation determination means 36 to the source of the scheduled posting information among the plurality of communication terminals. It is configured as a transmitting means for transmitting to the communication terminal that becomes

As shown in FIG. 17, in the evaluation result display area 221 of the evaluation result screen 220 of the user's device, for example, the mobile terminal (smartphone) 10 of the user a, as information about the judgment result of the post evaluation judgment means 36, for example, "There is a possibility that your post may receive a negative evaluation... Yes" is displayed. In the negative evaluation factor display area 222 of the evaluation result screen 220 of the mobile terminal (smartphone) 10, as information about the judgment result of the post evaluation judgment means 36, "Reference", "Negative/Extreme Remark") are displayed, and a button 223 of "Do you want to post?" is displayed.

The user a can confirm whether or not there is a possibility that the content to be posted will receive a negative evaluation by viewing the information displayed on the evaluation result screen 220 of the mobile terminal (smartphone) 10 . In addition, when the content to be posted is likely to receive a negative evaluation, the user a selects "anti-social behavior", "reference to sensitive issues", and "negative/extreme remarks" as negative evaluation factors. can be verified to exist.

Here, if the button 223 is not clicked, or if the evaluation result screen 220 of the mobile terminal (smartphone) 10 of the user a is closed, the content (information related to the text) scheduled to be posted by the user a is sent to the server of the SNS service. 16, the processing for the mobile terminal (smartphone) 10 of user a ends. It should be noted that when the button 223 is clicked, the content of the scheduled posting is received by the server 16 of the SNS service.

According to the present embodiment, it is possible to evaluate information to be posted in association with one or more evaluation items indicating factors that may result in a negative evaluation of the posting. By transmitting this evaluation result to the user's communication terminal, the user can know whether or not his or her posting will receive a negative evaluation before posting to the SNS via the Internet. Furthermore, it is possible to know the factors that receive a negative evaluation. This allows users to use the SNS with peace of mind, and allows the SNS operating company to increase the number of users.

In addition, the present invention is not limited to the above-described embodiment, and includes various modifications. For example, the post evaluation determination unit 36 may receive a negative evaluation of at least the content of the scheduled posting information based on the management content of the negative word determination unit 33 (information recorded in the keyword-based negative evaluation factor table 100). It is also possible to determine whether In this case, the content of the scheduled posting information (the content of the first keyword) is evaluated in association with the evaluation item, and whether or not the content of the first keyword belonging to the scheduled posting information may receive a negative evaluation. can be determined.

In addition, the post evaluation determination means 36 determines the management contents of the negative word determination means 33 (information recorded in the keyword-based negative evaluation factor table 100) and the management contents of the negative word determination means 33 (information recorded in the article evaluation table 110). ), it is also possible to determine whether or not the content of the scheduled posting information is likely to receive a negative evaluation. In this case, the contents of the scheduled posting information (the contents of the first keyword and the contents of the comments belonging to the article) are evaluated in association with the evaluation items, and the contents of the first keyword and the comments belonging to the article obtained by the search are evaluated. It can be determined whether the content is likely to receive negative reviews. At this time, the posting evaluation determination means 36 transmits the determination result to the communication terminal that is the transmission source of the scheduled posting information among the plurality of communication terminals via the network I/F (transmission means) 31 and the Internet 20. can be done. As a result, the user using the communication terminal that is the transmission source of the posting schedule information may receive a negative evaluation of the posting schedule information by looking at the content displayed on the screen of the communication terminal. It is possible to grasp whether or not

In addition, the post evaluation determination means 36 determines the management contents of the negative word determination means 33 (information recorded in the negative evaluation factor table 100 by keyword) and the management contents of the negative word determination means 33 (information recorded in the negative article table 120). ), it is also possible to determine whether or not the content of the scheduled posting information is likely to receive a negative evaluation. In this case, the contents of the scheduled posting information (the contents of the first keyword and the contents of the comments belonging to the specific article having the negative evaluation value 125 of the retrieved articles equal to or greater than the threshold value) are associated with the evaluation items and evaluated. It is possible to determine whether or not there is a possibility that the content of one keyword and the content of comments belonging to a specific article obtained by searching may receive a negative evaluation.

The post evaluation determination means 36 selects evaluation items (article comprehensive and items belonging to the factor 152 in which "yes" is recorded in the article general person 156 of the person's affinity negative evaluation factor table 150), and the imported evaluation items and the management contents of the negative word judgment means 33 (negative evaluation by keyword information recorded in the factor table 100) can be selected as the evaluation item for the final evaluation.

In this case, the contents of the scheduled posting information (the contents of the first keyword, the contents of the comments belonging to the specific article whose negative evaluation value 125 is equal to or higher than the threshold among the retrieved articles, and the contents of the personal information) are associated with the evaluation items. to determine whether or not the content of the first keyword, the content of comments belonging to a specific article obtained by searching, and the content of personal information may receive a negative evaluation as a final evaluation. can be done. At this time, the posting evaluation determination means 36 transmits the final evaluation determination result to the communication terminal, which is the transmission source of the scheduled posting information, among the plurality of communication terminals via the network I/F (transmission means) 31 and the Internet 20. can be sent. As a result, the user using the communication terminal that is the transmission source of the scheduled posting information may receive a negative evaluation as the final evaluation of the scheduled posting information by viewing the content displayed on the screen of the communication terminal. It is possible to grasp whether there is

Regarding the retrieval of negative articles, articles related to keywords and containing comments from one or more users are more likely to be evaluated as negative articles. Articles are not necessarily limited to articles with comments from users as long as the relationship between them can be evaluated. However, in such a case, it becomes difficult to obtain the negative evaluation value 114, so the negative evaluation value 114 is fixed to an arbitrary value (for example, the smallest value is 1) or a negative evaluation value 114 not based on the number of comments is used.

Moreover, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration. Moreover, each of the above configurations, functions, and the like may be implemented by hardware, for example, by designing a part or all of them using an integrated circuit. Moreover, each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, and files that realize each function can be stored in memory, hard disks, SSD (Solid State Drives) and other recording devices, IC (Integrated Circuit) cards, SD (Secure Digital) memory cards, DVD ( It can be recorded on a recording medium such as Digital Versatile Disc).

10 mobile terminal, 12 personal computer, 14, 16 server, 18 post evaluation system, 20 Internet, 30 post evaluation server, 31 network interface, 32 keyword decomposition means, 33 negative word determination means, 34 negative article search means, 35 personal information Matching means 36 Post evaluation determination means 40 Negative word DB 50 Table management DB 60 Net article DB 70 Negative word table 80 Negative combination table 90 Keyword table 100 Negative evaluation factor table by keyword 110 Article evaluation Table 120 negative article table 130 person information table 140 person's negative evaluation factor table 150 article synthesis and person's affinity negative evaluation factor table 160 posting negative evaluation factor final evaluation table

Claims (10)

a post evaluation server that transmits and receives information via a plurality of communication terminals connected to a communication network and the communication network;
Information to be managed by the post evaluation server, in which one or more evaluation items indicating factors that may be negatively evaluated in posting to the communication network and information on one or more negative words are associated with each other and stored. a storage device for
The post evaluation server,
receiving means for receiving posting schedule information including character information scheduled to be posted to the communication network from one of the plurality of communication terminals;
a first keyword extracting means for extracting one or more first keywords from the posting schedule information received by the receiving means;
determining whether or not the first keyword corresponds to the negative word by referring to the storage device based on the first keyword extracted by the first keyword extracting means; first negative word determination means for selecting and managing an evaluation item corresponding to the first keyword from among the one or more evaluation items when the keyword corresponds to the negative word;
executing a search using the communication network based on the first keyword extracted by the first keyword extracting means, and obtaining comments from one or more users on articles related to the first keyword; a search means for retrieving a plurality of articles containing
a second keyword extraction means for extracting one or more second keywords from comments belonging to the plurality of articles obtained by the search by the search means;
referring to the storage device based on the second keyword extracted by the second keyword extracting means, and determining whether or not the second keyword corresponds to the negative word for each of the plurality of articles; a second negative word judgment means for judging and managing the judgment result in association with the evaluation item;
Posting for determining whether or not the contents of the scheduled posting information may receive the negative evaluation based on the management contents of the first negative word judgment means and the management contents of the second negative word judgment means. and evaluation determination means. The post evaluation system according to claim 1 ,
The post evaluation system, further comprising transmission means for transmitting the determination result of the post evaluation determination means to a communication terminal that is a transmission source of the scheduled posting information among the plurality of communication terminals via the communication network. . The post evaluation system according to claim 1 ,
The second negative word determination means includes:
calculating a ratio between the total number of comments belonging to the plurality of articles and the number of negative comments among the comments belonging to the plurality of articles based on the plurality of articles obtained by searching by the searching means, and calculating the result; calculate a negative evaluation value for each of the plurality of articles based on the above, select a specific article whose calculation result is equal to or greater than a threshold value from among the plurality of articles, and summarize the judgment results regarding the selected specific article a post evaluation system, which manages the negative article as a judgment result related to the negative article in association with the evaluation item, and transfers the managed content to the post evaluation determination means. The post evaluation system according to claim 3 ,
The post evaluation server,
Personal information determination means for determining whether or not the personal information corresponds to any of the evaluation items based on the personal information about the user who uses the communication terminal that is the transmission source of the scheduled posting information;
The judgment result of the personal information judging means is compared with the management content of the second negative word judging means, which is managed in association with the evaluation item as the judgment result regarding the negative article, and further comprising comparison means for selecting an evaluation item from among the evaluation items, the evaluation item being conditional on the AND of the determination result regarding the personal information and the determination result regarding the negative article;
The post evaluation determination means includes:
Instead of the content managed by the second negative word judgment means, the evaluation item selected by the comparison means is taken in, and the logical sum of the taken evaluation item and the management content of the first negative word judgment means is a condition. A post evaluation system characterized in that an evaluation item to be evaluated is selected from the evaluation items. The post evaluation system according to claim 4 ,
The judgment result of the post evaluation judging means and the information on the evaluation item selected by the post evaluation judging means are sent to the communication terminal of the plurality of communication terminals, which is the transmission source of the scheduled posting information, via the communication network. A post evaluation system, further comprising transmission means for transmission. a post evaluation server that transmits and receives information via a plurality of communication terminals connected to a communication network and the communication network;
Information to be managed by the post evaluation server, in which one or more evaluation items indicating factors that may be negatively evaluated in posting to the communication network and information on one or more negative words are associated with each other and stored. A method in a system comprising a storage device for
a receiving step in which the post evaluation server receives posting schedule information including character information scheduled to be posted on the communication network from one of the plurality of communication terminals;
a first keyword extracting step in which the post evaluation server extracts one or more first keywords from the scheduled posting information received in the receiving step;
The post evaluation server refers to the storage device based on the first keyword extracted by the first keyword extraction step, and determines whether or not the first keyword corresponds to the negative word. a first negative word determination step of selecting and managing an evaluation item corresponding to the first keyword from among the one or more evaluation items when the first keyword corresponds to the negative word; ,
The post evaluation server performs a search using the communication network based on the first keyword extracted by the first keyword extraction step, and retrieves articles related to the first keyword, comprising: a retrieving step of retrieving a plurality of articles containing comments from said users;
a second keyword extraction step in which the post evaluation server extracts one or more second keywords from comments belonging to the plurality of articles obtained by the search in the search step;
The post evaluation server refers to the storage device based on the second keyword extracted by the second keyword extraction step, and determines whether or not the second keyword corresponds to the negative word. a second negative word determination step of determining each of a plurality of articles and managing the determination result in association with the evaluation item;
Possibility of the post evaluation server receiving the negative evaluation of the content of the scheduled posting information based on the content managed in the first negative word determination step and the content managed in the second negative word determination step and a post evaluation determination step of determining whether or not there is a post evaluation method. The post evaluation method according to claim 6 ,
The post evaluation server further includes a transmission step of transmitting the determination result of the post evaluation determination step to a communication terminal that is a transmission source of the scheduled posting information among the plurality of communication terminals via the communication network. A post evaluation method characterized by: The post evaluation method according to claim 6 ,
In the second negative word determination step,
calculating a ratio between the total number of comments belonging to the plurality of articles and the number of negative comments among the comments belonging to the plurality of articles based on the plurality of articles obtained by the search in the searching step; Based on the results, a negative evaluation value is calculated for each of the plurality of articles, a specific article whose calculation result is equal to or greater than a threshold value is selected from the plurality of articles, and a judgment result regarding the selected specific article is obtained. A post evaluation method, characterized in that the evaluation results are collectively managed in association with the evaluation items as judgment results regarding negative articles. The post evaluation method according to claim 8 ,
Personal information, wherein the post evaluation server determines whether or not the personal information corresponds to any of the evaluation items based on the personal information of the user who uses the communication terminal that is the transmission source of the scheduled posting information. a determination step;
The post evaluation server manages the determination result of the personal information determination step and the management content of the second negative word determination step in association with the evaluation item as the determination result regarding the negative article. a comparing step of comparing the content of management with the contents of management, and selecting an evaluation item from among the evaluation items that is conditional on the AND of the determination result regarding the personal information and the determination result regarding the negative article;
In the post evaluation determination step,
Instead of the management content in the second negative word judgment step, the evaluation item selected in the comparison step is taken in, and the logic between the taken-in evaluation item and the management content in the first negative word judgment step A post evaluation method, characterized in that an evaluation item whose sum is a condition is selected from the evaluation items. The post evaluation method according to claim 9 ,
The post evaluation server transmits the judgment result in the post evaluation judgment step and the information on the evaluation items selected in the post evaluation judgment step to the posting schedule information of the plurality of communication terminals via the communication network. A post evaluation method, further comprising a transmission step of transmitting to a communication terminal that is a transmission source of the post evaluation method.

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