JP2020135673A - Contribution evaluation system and method - Google Patents

Abstract

To evaluate contribution planned information in association with one or more evaluation items indicating factors which may be negatively evaluated in a contribution.SOLUTION: A communication network system 1 includes: a contribution evaluation server 30 that transmits and receives information to/from a plurality of communication terminals 10 via a communication network; and a storage device 40 that stores an evaluation item indicating a factor which may be negatively evaluated in a contribution and information on a negative word in association with each other. A contribution evaluation server 14 receives contribution planned information including character information planned to be contributed from a communication terminal, and extracts one or more first keywords from the contribution planned information. It refers to the storage device based on the first keywords, determines whether they correspond to negative words, selects and manages an evaluation item corresponding to the first keywords if they do, and determines whether contents of the contribution planned information may be negatively evaluated based on management contents.SELECTED DRAWING: Figure 1

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 fall into a flame that is out of control due to a flood of criticism, there are various damages such as losing trust regardless of individuals or corporations. In order to prevent this, there is known a technique of predicting in advance whether or not a negative evaluation will be received from the content posted on the SNS and avoiding the negative evaluation.

For example, Patent Document 1 refers to a database (hereinafter referred to as DB) containing cases in which other users have received negative evaluations in the past before the user posts to SNS, and there are similar cases. If so, a technique for rejecting submissions is described.

Japanese Unexamined Patent Publication No. 2015-170065

The system described in the above-mentioned prior art is a system that stops posting when the content of a sentence that a user intends to post to SNS is expected to receive a negative evaluation by comparing with cases that have received a negative evaluation in the past. Is.

However, in today's world where the number of SNS users has increased dramatically from the past, it goes without saying that users are not expecting it, and it is negative with a completely new pattern (a pattern not registered in the database described in Patent Document 1) that has never been seen in the past. May be evaluated.

In addition, even if there are cases that have received negative evaluations in the past, they do not necessarily receive negative evaluations if the status of the person who posts is different, such as the social position of the user who posts.

An object of the present invention is to evaluate posting schedule information in association with one or more evaluation items indicating factors that may receive a negative evaluation in posting.

In order to solve the above problems, the present invention comprises a plurality of communication terminals connected to a communication network, a post evaluation server that transmits / receives information via the communication network, and information to be managed by the post evaluation server. The post evaluation is provided with a storage device that stores one or more evaluation items indicating factors that may receive a negative evaluation in posting to the communication network and information on one or more negative words in association with each other. The server is selected from a receiving means for receiving the posting schedule information including character information to be posted to the communication network from any one of the plurality of communication terminals and the posting schedule information received by the receiving means. With reference to the storage device based on the first keyword extraction means for extracting one or more first keywords and the first keyword extracted by the first keyword extraction means, the first keyword Determines whether or not corresponds to the negative word, and if the first keyword corresponds to the negative word, the evaluation item corresponding to the first keyword is selected from the one or more evaluation items. Based on the management contents of the first negative word determination means and at least the first negative word determination means to be managed, it is determined whether or not the content of the posting schedule information may receive the negative evaluation. It is characterized by having a post evaluation determination means.

According to the present invention, the information to be posted can be evaluated in association with one or more evaluation items indicating factors that may receive a negative evaluation in the posting.

It is a block diagram which shows the whole structure of the communication network system which concerns on this Embodiment. It is a block diagram which shows the software structure of the post evaluation server which concerns on this Embodiment. It is a block diagram of the negative word DB which concerns on this embodiment. It is a block diagram of the information about the negative evaluation factor which concerns on this embodiment. It is a flowchart for demonstrating the whole processing of the post evaluation server which concerns on this Embodiment. It is explanatory drawing for demonstrating the processing of the keyword decomposition means which concerns on this Embodiment. It is explanatory drawing for demonstrating the process of collation evaluation of the negative word determination means which concerns on this Embodiment. It is explanatory drawing for demonstrating the process of selecting the negative evaluation factor of the post of the negative word determination means which concerns on this Embodiment. It is a flowchart for demonstrating the process of the negative article search of the post evaluation server which concerns on this Embodiment. It is a block diagram which shows the display example of the article search screen which concerns on this Embodiment. It is a block diagram which shows the display example of the screen in an article which concerns on this Embodiment. It is a block diagram of the table which concerns on this embodiment, (a) is a block diagram of an article evaluation table, and (b) is a block diagram of a negative article table. It is a flowchart for demonstrating the process of personal information collation of the post evaluation server which concerns on this Embodiment. It is a block diagram of the table which concerns on this embodiment, (a) is a block diagram of a person information table, and (b) is a block diagram of a person's negative evaluation factor table. It is a block diagram of the article synthesis and the person's affinity negative evaluation factor table which concerns on this embodiment. It is a block diagram of the negative evaluation factor final evaluation table of the post which concerns on this embodiment. It is a block diagram which shows the display example of the evaluation result screen which concerns on this Embodiment.

Hereinafter, an embodiment according to the present invention will be described with reference to FIGS. 1 to 17.

FIG. 1 is a configuration diagram showing an overall configuration of a communication network system according to the present embodiment. In FIG. 1, the communication network system 1 includes a mobile terminal (smartphone) 10, a personal computer (hereinafter, may be referred to as a PC) 12, servers 14, 16, and a post evaluation system 18. The mobile terminal 10, the personal computer (PC) 12, the servers 14, 16, and the post evaluation system 18 are connected to each other via a communication network (public communication network), for example, the Internet 20. The servers 14 and 16 are composed of, for example, a computer device having information processing resources such as a CPU (Central Processing Unit), a memory, and an input / output interface. The server 14 is a server that manages information related to online articles and blogs. The server 16 is a server that manages information about the SNS service. It is also possible to create a database of information managed by the servers 14 and 16. The user a can post information about the SNS to the Internet 20 by using the mobile terminal 10. User b can post information about SNS to the Internet 20 by using PC12.

The post evaluation system 18 is composed of, for example, a computer device including 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 comprehensively controls the operation of the entire device. The input device is composed of a keyboard or a mouse, and the output device is composed of a display (display device) or a printer. Further, the communication device is configured to include a NIC (Network Interface Card) for connecting to a wireless LAN or a wired LAN. Further, the storage device is composed of a storage medium such as a RAM (Random Access Memory) and a ROM (Read Only Memory).

At this time, the CPU is configured as a post evaluation server 30, and the storage device stores the negative word DB 40, the table management DB 50, and the 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. Information about the negative word is stored in the negative word DB 40. The table management DB 50 stores information about various tables described later. Information about net articles and blogs is stored in the net article DB 60. In the present embodiment, the form of the device does not matter as long as it is a means capable of connecting to the Internet 20 and posting to the SNS.

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

FIG. 3 is a configuration diagram of a negative word DB according to the present embodiment. In FIG. 3, the negative word DB stores the negative word table 70 and the negative combination table 80.

The negative word table 70 is composed of # 71, a negative word 72, and a negative evaluation factor 73. # 71 is a number (identifier) that uniquely identifies the negative word. Numbers such as "23" and "974" are stored in # 71. The negative word 72 is character information that identifies the negative word. In the negative word 72, for example, the information of "○○○" is stored as the negative word 72 corresponding to "23" of # 71. The negative evaluation factor 73 is information for identifying a factor in which a negative word is evaluated as negative. In the negative evaluation factor 73, for example, the information of "reference to a delicate problem" is stored as the negative evaluation factor 73 corresponding to "23" of # 71.

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

When configuring the negative word table 70 and the negative combination table 80, the same image as 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 or the like. Operates the input device, and information can be recorded in each column of the negative word table 70 and the negative combination table 80 among the images displayed on the screen of the display device.

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

Factor 73B is information indicating a factor that may receive a negative evaluation in posting to SNS. When there are five types of items (evaluation items) that belong to the factors of negative evaluation, factor 73B corresponds to "1" to "5" of # 73A, and corresponds to "antisocial behavior" and "delicate problems". Information on "reference", "negative / extreme remarks", "unauthorized disclosure of information on others", and "stealth marketing / profit induction" is stored as information on items (evaluation items). In addition, stealth marketing means to advertise so that consumers do not notice it as an advertisement. Further, the information regarding the negative evaluation factor 83 is the same as the information regarding the negative evaluation factor 73. Although five factors have been illustrated in the present invention, they can be replaced, added, or deleted with other factors as long as the gist of the invention is not deviated.

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

The keyword decomposition 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 is the received information 10A received by the network I / F 31, and the content to be posted by the user (posting schedule information including character information and image information) is described as "○○. If the character information of "○ is △△△, so it's XXX !!" exists, for example, morphological analysis is performed on the received information 10A, particles and conjunctions are removed from the character information, and the characters are used as keywords. , "○○○", "△△△", "XXX" are extracted, and each extracted keyword is stored in the keyword table 90 as the first keyword, which is configured as the first keyword extraction means. .. The keyword table 90 is a table stored in the table management DB 50, and is composed of # 91 and the keyword 92. At this time, each keyword "○○○", "△△△", and "XXX" is stored in the column of the keyword 92 corresponding to "1" to "3" of # 91.

Next, returning 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, that is, each It is determined whether 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 a 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 it is. In this case, "○○○" belonging to the keyword 92 corresponding to "1" in # 91 of the keyword table 90 belongs to "○○○" belonging to the negative word 72 corresponding to "23" in # 71 of the negative word table 70. As a negative evaluation factor 73, there is "reference to a delicate problem", and it is evaluated as a negative word. Further, "XXX" belonging to the keyword 92 corresponding to "3" of # 91 of the keyword table 90 is "XXX" belonging to the negative word 72 corresponding to "974" of # 71 of the negative word table 70. As a negative evaluation factor 73, there is "negative remark / extreme remark", and it is evaluated as a negative word.

After that, as shown in FIG. 8, the negative word determination means 33 selects a negative evaluation factor of 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 factor of negative evaluation by keyword, and the determination result is registered in the negative evaluation factor table 100 by keyword. The negative evaluation factor table 100 based on keywords is composed of # 101, factor 102, and determination 103. # 101 is a number (identifier) that uniquely identifies the factor of negative evaluation by the keyword. The factor 102 stores the same information as the information belonging to the factor 73B of the negative evaluation factor 73. In the determination 103, information of "-" indicating "yes" or "no" is stored as a determination result of whether or not there is a factor of negative evaluation by the keyword.

Here, the negative word determination means 33 is, for example, the keyword "○○○" extracted from the received information 10A = "○○○ is △△△, so it is XXX !!" received by the network I / F31. , "XXX" correspond to the negative words "○○○" and "XXX" belonging to the negative word 72, respectively, and the negative evaluation factors 73 correspond to "reference to the delicate problem" and "negative", respectively. In the case of "remark / extreme remark", in the column corresponding to "reference to delicate problem" and "negative remark / extreme remark" of factor 102 in the judgment 103, as the selection result of the negative evaluation factor of the post. , Register the information of "Yes". At this time, the negative word determining means 33 refers to the storage device based on the keyword (first keyword) extracted by the keyword decomposing means 32, and determines whether or not the keyword corresponds to the negative word 72. When the keyword corresponds to the negative word 72, it is configured as a first negative word determination means for selecting and managing the evaluation item corresponding to the keyword from the items (evaluation items) of the negative evaluation factor 73.

Next, returning to FIG. 5, the negative article search means 34 searches for negative articles related to the keyword by performing an Internet search (S4). The specific contents of step S4 are shown in FIG.

FIG. 9 is a flowchart for explaining the process of searching for negative articles on the post evaluation server according to the present embodiment. In FIG. 9, the negative article search means 34 searches for articles related to the keyword 92 via the Internet 20 using the information of the keyword 92 stored in the keyword table 90 (S41), and searches the search results as net articles. It is stored in the DB 60 and displayed on the article search screen 200 of the display device (display) as shown in FIG. 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 is an article related to the keyword and is one or more. It is configured as a search means to capture information about multiple articles, including comments from users.

In FIG. 10, in the keyword display area 201 of the article search screen 200 of the display device, information about the keyword extracted by the keyword decomposition means 32 is displayed. For example, when the received information 10A received by the network I / F31 = "○○○ is △△△, so it is ××× !!", the keywords are "○○○", "△△△", and "×". 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, ... As articles related to the keyword is displayed. In the article display area 202 of the article search screen 200, the top 10 articles (A to J) among the plurality of searched articles are displayed as articles related to the keyword.

After that, as shown in FIG. 11, the negative article search means 34 displays information on the search result and the list of comments from the user on the in-article screen 210. For example, the negative article search means 34 displays information about the article A in the article display area 211 of the in-article screen 210, and information about the comment list from the user a and the user b in the comment display area 212 of the in-article screen 210. Is displayed. In the article display area 211 of the in-article screen 210, information about the top 10 articles (A to J) among the plurality of searched articles is sequentially displayed. In addition, articles for which the user's comment list does not exist will not be searched.

Next, returning to FIG. 9, the keyword decomposition means 32 captures the search result of the negative article search means 34, and is a comment belonging to the article A displayed in the article display area 211 of the in-article screen 210, and is a comment from the user. For the comment list, the keyword decomposition process in the article that decomposes into keywords is executed (S42), and the processing result is transferred to the negative word determination means 33. 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 the information related to the plurality of articles obtained by the search of the negative article search means 34. To.

The negative word determination means 33 executes an in-article negative word determination process for determining whether or not a negative word exists among the keywords extracted by the in-article keyword decomposition process (S43). At this time, in the negative word determination means 33, as shown in the article evaluation table 110 of FIG. 12A, the keyword extracted from the comment list belonging to each article A to J is any of the factors of the evaluation item 112. It is judged whether or not it corresponds to the negative word corresponding to the crab, and the comment containing the keyword judged as the negative word is judged as the negative comment, and as the judgment result, any of the factors of the article including the negative comment Register "Yes" in the column. The negative word determination 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 or not the keyword corresponds to a negative word. Is configured as a second negative word judgment means for judging each of a plurality of articles and managing the judgment result in association with the evaluation item 112. If there is no comment containing a keyword in each article, information of "-" indicating nothing is registered in the column of article 113 as a determination result.

The article evaluation table 110 is composed of # 111, evaluation items 112, articles 113, and negative evaluation values 114. "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 specifies the negative evaluation value 114. is there. The evaluation item 112 stores the same information as the information belonging to the factor 73B of the negative evaluation factor 73. Article 113 is composed of the top 10 articles A to J among the plurality of searched articles as articles related to the Internet 20. In each article A to J, there are five types of factors ("antisocial behavior", "reference to delicate issues", "negative / extreme remarks", "unauthorized disclosure of other information", and "stealth marketing". Regarding "profit induction"), the determination result of whether or not a negative word exists is stored as "-" information indicating "yes" or no. In the column of the article 113 corresponding to the negative evaluation value 114, information on the negative evaluation value related to 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 column 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 judged to be negative comments in the process of determining negative words in an article) and the total number of comments (comments from users that belong to the comment list). It is calculated on a 10-point scale from the ratio with the total number). When 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, returning to FIG. 9, the negative word determination means 33 uses five factors (“antisocial behavior”,” among the evaluation items 122, for each article in which the negative evaluation value 114 has a threshold value of “6” or more. Does at least one of "reference to delicate issues", "negative / extreme remarks", "unauthorized disclosure of information on others", "stealth marketing / pork barrel") have "yes" information? It is determined whether or not the negative article table 120 is created based on the determination result (S44), and the processing in this routine is terminated. In this case, the negative word determination means 33 creates a table as the negative article table 120 in which the items of the article total 124 are added to the information recorded in the article evaluation table 110.

As shown in FIG. 12B, the negative article table 120 is composed of # 121, evaluation item 122, article 123, article total 124, and negative evaluation value 125. "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 specifies the negative evaluation value 125. is there. The evaluation item 122 stores the same information as the information belonging to the factor 73B of the negative evaluation factor 73. The article 123 is composed of articles belonging to the article 113 and having a negative evaluation value 114 of the threshold value “6” or more. In each article A to J, there are five types of factors ("antisocial behavior", "reference to delicate issues", "negative / extreme remarks", "unauthorized disclosure of other information", and "stealth marketing". Regarding "profit induction"), the determination result of whether or not a negative word exists is stored as "-" information indicating "yes" or no. In the article synthesis 124, the determination result of whether or not a negative word exists in each article is stored in the information of "-" indicating "yes" or no, for each of the five types of factors. In the column of the article 123 corresponding to the negative evaluation value 125, information on the negative evaluation value related to each article A to J is stored as a numerical value (integer).

Here, the negative word determination means 33 has five factors (“antisocial behavior” and “delicate problem”) in the evaluation item 122 for each article in which the negative evaluation value 114 is the threshold value “6” or more. Determine whether or not "yes" information exists in at least one of "reference", "negative / extreme remarks", "unauthorized disclosure of others' information", "stealth marketing / profit induction"). , The determination result (“Yes” or “−” indicating no) is registered in the column of the article total 124 of the negative article table 120. In the present embodiment, in the negative article table 120, the sum of the negative evaluation factors of each article A to J is summarized as the information of the article total 124. At this time, in the present embodiment, the factors of the negative evaluation of the article comprehensive 124 are "antisocial behavior", "reference to delicate problem", and "negative / negative" in which "yes" is registered in the article comprehensive 124. "Extreme remarks".

At this time, the negative word determination means 33 is based on the plurality of articles obtained by the search of the negative article search means 34, 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. And, a negative evaluation value 114 is calculated for each of a plurality of articles based on the calculation result, and a specific article whose calculation result is the threshold value “6” or more is selected from a plurality of articles. Judgment results related to the selected specific article are summarized and managed as judgment results related to negative articles (information recorded in "Article Comprehensive 124") in association with evaluation items, and the management contents are transferred to the posting evaluation judgment means 36. It is configured as a second negative word judgment means.

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

The specific content of the personal information matching process in step S5 is shown in FIG. FIG. 13 is a flowchart for explaining the personal information matching process.

The personal information matching means 35 displays the personal information about the personal (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). Read from (S51). When the information in the personal information table 130 is managed by the server 16, the information in the personal information table 130 can be fetched from the server 16.

The personal information table 130 is composed of # 121, item 132, and set value 133. # 121 is a number (identifier) that uniquely identifies the item 132. In item 132, information on "nationality", "age", "gender", "occupation", "religion", and "social position" is stored corresponding to "1" to "6" of # 131. To. In the set value 133, information on "Japan", "27", "male", "office worker", "-", and "general public" is stored corresponding to "1" to "6" of # 131. To. The information stored in the personal information table 130 is information registered in advance by the user in the post evaluation server 30, or information read by the post evaluation server 30 from the user's device (mobile terminal or the like) via the network I / F31. is there.

Next, the personal information matching means 35 determines the cause of the negative evaluation of the person based on the information in the personal information table 130, and based on the determination result, the negative evaluation of the person is as shown in FIG. 14 (b). The factor table 142 is created (S52). When the information of the negative evaluation factor table 140 of the person is managed by the server 16, the information of the negative evaluation factor table 140 of the person can be taken in from the server 16.

The person's negative evaluation factor table 140 is a table used by the user to determine a negative evaluation factor that is likely to receive a negative evaluation in consideration of the user's own information, and is based on # 141, factor 142, and judgment 143. It is composed. # 141 is a number (identifier) that uniquely identifies the factor 142. The factor 142 includes the same information as the information belonging to the factor of the evaluation item 112 of the article evaluation table 110 (“antisocial behavior”, “reference to delicate problem”, “negative / extreme remark”, “other information”. "Unauthorized disclosure", "Stealth marketing / profit induction") are stored corresponding to "1" to "5" of # 141.

In the determination 143, information of "-" indicating "yes" or "no" is stored as the determination result of the person's negative evaluation factor for each factor. "Anti-social behavior" is judged for all users. “Reference to delicate issues” is determined in consideration of the social position of the user. “Negative / extreme remarks” are judged in consideration of the user's age and social position. "Unauthorized disclosure of information about others" is determined for all users. "Stealth marketing / profit induction" is judged in consideration of the user's occupation and social position.

In the negative evaluation factor table 140 of the person, there is a factor 142 as an item of negative evaluation as in the negative evaluation factor table 100 by keywords. 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 the present embodiment, since the set value 133 corresponding to the "social position item" belonging to the item 132 of the person information table 130 is the "general person", among the factors 142 in the person's negative evaluation factor table 140, "Reference to the delicate problem" is not subject to judgment and is "-". If the information meaning the set value 133 "celebrity" corresponding to the "social position" belonging to the item 132 of the personal information table 130 is registered, the "delicate" of the factors 142 in the negative evaluation factor table 140 of the person is registered. Information of "Yes" is stored in the column of the determination 143 corresponding to "reference to the problem".

Next, the personal information matching means 35 determines the overall article and the personal affinity negative evaluation factor based on the information in the negative article table 120 and the personal negative evaluation factor table 140, and based on the judgment result, determines the personal affinity negative evaluation factor. As shown in FIG. 15, the article synthesis and the personal affinity negative evaluation factor table 150 are created.

The article synthesis and the person's affinity negative evaluation factor table 150 is composed of # 151, the factor 152, and the judgment 153, and the judgment 153 is composed of the article total 154, the person 155, and the article total person 156.

# 151 is a number (identifier) that uniquely identifies the factor 152. The factor 152 includes the same information as the information belonging to the factor of the evaluation item 112 of the article evaluation table 110 (“antisocial behavior”, “reference to delicate problem”, “negative / extreme remark”, “other information”. "Unauthorized disclosure", "Stealth marketing / profit induction") are stored corresponding to "1" to "5" of # 151.

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

In the example of this embodiment, the "reference to the delicate problem" in the article synthesis 154 is "yes" in the judgment 153, but the "reference to the delicate problem" in the person 155 is not applicable in the judgment 153. Since it is (“-”), the “reference to the delicate problem” in the article general person 156, which is the final judgment, is out of scope (“-”) in the judgment 153. That is, in the example of this embodiment, the negative evaluation factors included in the negative article as a result of searching from the keyword of the posted content are "anti-social behavior" and "negative / extreme" in consideration of the person's information. There are two "remarks".

At this time, in the personal information matching means 35, 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 posting schedule information. It is configured as a personal information determination means for determining whether or not any of the items (evaluation items) of the above is applicable and recording the determination result in the negative evaluation factor table 140 of the individual.

Further, the personal information matching means 35 is the management content of the information recorded in the negative evaluation factor table 140 of the person and the negative word judgment means 33, and is managed in association with the evaluation items as the judgment result regarding the negative article. Management contents (Compare with the information recorded in the negative article table 120, and select and select the evaluation item from the evaluation items on the condition of the logical product of the judgment result regarding the personal information and the judgment result regarding the negative article. It is configured as a comparison means for recording information on evaluation items in the article synthesis and the personal affinity negative evaluation factor table 150.

Next, returning to FIG. 13, the post evaluation determination means 36 executes the article comprehensive evaluation and comparison process (S53), and then ends the process in this routine. At this time, the post evaluation determination means 36 makes a final evaluation of the negative evaluation factor of the post based on the information of the negative evaluation factor table 100 by the keyword and the information of the article synthesis and the personal affinity negative evaluation factor table 150. Execution is performed, and based on the execution result, the negative evaluation factor final evaluation table 160 of the post is created as shown in FIG. 16, and the image information regarding the final evaluation is displayed on the user's device (display) as shown in FIG. Display on the screen of.

The negative evaluation factor final evaluation table 160 of the post is composed of # 161, factor 162, and judgment 163, and the judgment 163 is composed of keyword 164, article general person 165, and final evaluation 166.

# 161 is a number (identifier) that uniquely identifies the factor 162. Factor 162 includes the same information as the information belonging to the factor of evaluation item 112 of the article evaluation table 110 (“antisocial behavior”, “reference to delicate problem”, “negative / extreme remark”, “other information”. "Unauthorized disclosure", "Stealth marketing / profit induction") are stored corresponding to "1" to "5" of # 161.

In the keyword 164, the same information as the information of the determination 103 of the negative evaluation factor table 100 by the keyword is stored corresponding to "1" to "5" of # 161. In the article general person 163, the same information as the information belonging to the article general person 156 of the article general person and the person's affinity negative evaluation factor table 150 is stored corresponding to "1" to "5" of # 161. In the final evaluation 166, the final evaluation of the negative evaluation factor of the post, and the information on the condition (OR condition) of the logical sum of the information belonging to the keyword 164 and the information belonging to the article general person 165, is # 161. It is stored corresponding to "1" to "5" of.

In the example of this embodiment, "anti-social behavior" in the negative evaluation factor table 100 by keyword is not applicable ("-") in the judgment 103, but the article synthesis and the person's affinity negative evaluation Since the "antisocial behavior" in the factor table 150 is "yes" in the judgment 153, the "antisocial behavior" in the final evaluation 166 in the negative evaluation factor final evaluation table 160 of the post is "antisocial behavior" in the judgment 163. It is "Yes". Information regarding the negative evaluation factor 162, which is “Yes” in the determination 163 of the final evaluation 166, is transmitted to the user's device (mobile terminal or the like) via the network I / F31. At this time, the network I / F 31 transmits the determination result of the post evaluation determination means 36 and the information regarding the evaluation item selected by the post evaluation determination means 36 to the transmission source of the posting schedule information among the plurality of communication terminals via the Internet 20. It is configured as a transmission means for transmitting to a communication terminal.

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 regarding the determination result of the posting evaluation determination means 36, for example, "Your post may receive a negative rating ... 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 regarding the judgment result of the posting evaluation judgment means 36, (<negative evaluation factor> "anti-social behavior", "to a delicate problem" ”,“ Negative / extreme remarks ”) information is displayed, and the“ Do you want to post? ”Button 223 is displayed.

By looking at the information displayed on the evaluation result screen 220 of the mobile terminal (smartphone) 10, the user a can confirm whether or not the content to be posted may receive a negative evaluation. In addition, when the content to be posted may receive a negative evaluation, the user a has "antisocial behavior", "reference to a delicate problem", and "negative / extreme remark" as negative evaluation factors. Can be confirmed to exist.

Here, when the button 223 is not clicked, or when the evaluation result screen 220 of the mobile terminal (smartphone) 10 of the user a is closed, the content (information about the text) scheduled to be posted by the user a is the server of the SNS service. The process for the mobile terminal (smartphone) 10 of the user a is completed without being transmitted to 16. When the button 223 is clicked, the content to be posted will be accepted by the server 16 of the SNS service.

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

The present invention is not limited to the above-described embodiment, and includes various modifications. For example, in the post evaluation determination means 36, at least the content of the posting schedule information may receive a negative evaluation based on the management content of the negative word determination means 33 (information recorded in the negative evaluation factor table 100 by keywords). It is also possible to determine whether or not. In this case, the content of the posting schedule information (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 posting schedule information may receive a negative evaluation. Can be determined.

Further, the post evaluation determination means 36 includes management contents of the negative word determination means 33 (information recorded in the negative evaluation factor table 100 by keywords) and 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 posting schedule information may receive a negative evaluation. In this case, the content of the posting schedule information (the content of the first keyword and the content of the comment belonging to the article) is evaluated in association with the evaluation item, and the content of the first keyword and the comment belonging to the article obtained by the search are evaluated. It is possible to determine whether or not the content is likely to receive a negative evaluation. At this time, the posting evaluation determination means 36 transmits the determination result to the communication terminal that is the transmission source of the posting schedule 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, is there a possibility that the content of the posting schedule information will be negatively evaluated by the user who uses the communication terminal that is the source 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.

Further, the post evaluation determination means 36 has a management content of the negative word determination means 33 (information recorded in the negative evaluation factor table 100 by keywords) and a management content 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 posting schedule information may receive a negative evaluation. In this case, the content of the posting schedule information (the content of the first keyword and the content of the comment belonging to a specific article whose negative evaluation value 125 is equal to or higher than the threshold value among the searched articles) is evaluated in association with the evaluation item, and the second It is possible to determine whether or not the content of the keyword 1 and the content of the comment belonging to the specific article obtained by the search may receive a negative evaluation.

The post evaluation determination means 36 is an evaluation item (article synthesis) by selecting a comparison means (personal information matching means 35) instead of the management content of the negative word judgment means 33 (information recorded in the negative evaluation factor table 100 by keywords). And the article of the person's affinity negative evaluation factor table 150. The item belonging to the factor 152 in which "Yes" was recorded in the general person 156), the imported evaluation item and the management content of the negative word judgment means 33 (negative evaluation by keyword). An evaluation item subject to the logical sum with the information recorded in the factor table 100) can be selected as the evaluation item for the final evaluation.

In this case, the content of the posting schedule information (the content of the first keyword and the content of the comment belonging to the specific article whose negative evaluation value 125 is equal to or higher than the threshold value among the searched articles and the content of the personal information) are associated with the evaluation items. The final evaluation is to determine whether the content of the first keyword, the content of the comment belonging to the specific article obtained by the search, and the content of the personal information may receive a negative evaluation. Can be done. At this time, the posting evaluation determination means 36 transmits the determination result of the final evaluation to the communication terminal that is the transmission source of the posting schedule 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 who uses the communication terminal that is the source of the posting schedule information may receive a negative evaluation as the final evaluation by seeing the content displayed on the screen of the communication terminal. It is possible to grasp whether or not there is.

Also, regarding the search for negative articles, articles that are related to keywords and that include comments from one or more users are easier to evaluate as negative articles, but there are negative words in the content of the article, and comments If the relationship can be evaluated, it is not necessarily limited to articles with comments from users. However, in such a case, since it is difficult to obtain the negative evaluation value 114, it is necessary to fix it to an arbitrary value (for example, the smallest 1) or use a negative evaluation value 114 that is not based on the number of comments.

Further, it is possible to add / delete / replace other configurations with respect to a part of the configurations of each embodiment. In addition, each of the above configurations, functions, and the like may be realized by hardware, for example, by designing a part or all of them with an integrated circuit. Further, each of the above configurations, functions, and the like may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be stored in a memory, hard disk, recording device such as SSD (Solid State Drive), IC (Integrated Circuit) card, SD (Secure Digital) memory card, DVD ( It can be recorded and placed 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 judgment means, 34 Negative article search means, 35 Personal information Matching means, 36 post evaluation judgment 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 keyword negative evaluation factor table, 110 article evaluation Table, 120 Negative Article Table, 130 Personal Information Table, 140 Personal Negative Evaluation Factor Table, 150 Article Comprehensive and Personal Affinity Negative Evaluation Factor Table, 160 Post Negative Evaluation Factor Final Evaluation Table

Claims (12)

A post evaluation server that sends and receives information via a plurality of communication terminals connected to a communication network and the communication network, and
Information to be managed by the post evaluation server, and one or more evaluation items indicating factors that may receive a negative evaluation in posting to the communication network and information on one or more negative words are stored in association with each other. Equipped with a storage device
The post evaluation server is
A receiving means for receiving posting schedule information including character information to be posted to the communication network from any communication terminal among the plurality of communication terminals.
A first keyword extraction means for extracting one or more first keywords from the posting schedule information received by the receiving means, and
Based on the first keyword extracted by the first keyword extraction means, the storage device is referred to to determine whether or not the first keyword corresponds to the negative word, and the first keyword is determined. When the keyword corresponds to the negative word, the first negative word determination means for selecting and managing the evaluation item corresponding to the first keyword from the one or more evaluation items, and
It is characterized by having at least a posting evaluation determining means for determining whether or not the content of the posting schedule information may receive the negative evaluation based on the management content of the first negative word determining means. Post rating system. The post evaluation system according to claim 1.
The post evaluation server is
A search using the communication network is executed based on the first keyword extracted by the first keyword extraction means, and an article related to the first keyword, which is a comment from one or more users. A search method that captures information about multiple articles, including
A second keyword extraction means for extracting one or more second keywords from the information related to the plurality of articles obtained by the search of the search means, and
With reference to the storage device based on the second keyword extracted by the second keyword extraction means, whether or not the second keyword corresponds to the negative word is determined for each of the plurality of articles. It further has a second negative word judgment means for making a judgment and managing the judgment result in association with the evaluation item.
The post evaluation determination means is
It is determined whether or not the content of the posting schedule information may receive the negative evaluation based on the management content of the first negative word determination means and the management content of the second negative word determination means. Post evaluation system featuring. The post evaluation system according to claim 2.
A post evaluation system further comprising a transmission means for transmitting a determination result of the post evaluation determination means to a communication terminal that is a transmission source of the posting schedule information among the plurality of communication terminals via the communication network. .. The post evaluation system according to claim 2.
The second negative word determination means is
Based on the plurality of articles obtained by the search of the search means, the ratio of the total number of comments belonging to the plurality of articles to the number of negative comments among the comments belonging to the plurality of articles is calculated, and the calculation result is obtained. A negative evaluation value is calculated for each of the plurality of articles based on the above, a specific article whose calculation result is equal to or higher than the threshold value is selected from the plurality of articles, and the judgment result regarding the selected specific article is summarized. A post evaluation system characterized in that the management content is managed in association with the evaluation item as a judgment result regarding the negative article, and the management content is transferred to the post evaluation judgment means. The post evaluation system according to claim 4.
The post evaluation server is
Based on the personal information about the user who uses the communication terminal that is the transmission source of the posting schedule information, the personal information determining means for determining whether or not the personal information corresponds to any of the evaluation items, and
The determination result of the personal information determination means and the management content of the second negative word determination means, which is managed in association with the evaluation item as the determination result regarding the negative article, are compared and described. Further provided with a comparison means for selecting an evaluation item from the evaluation items on the condition of the logical product of the judgment result regarding the personal information and the judgment result regarding the negative article.
The post evaluation determination means is
Instead of the management content of the second negative word determination means, the evaluation item selected by the comparison means is taken in, and the logical sum of the incorporated evaluation item and the management content of the first negative word determination means is a condition. A post evaluation system characterized in that an evaluation item is selected from the evaluation items. The post evaluation system according to claim 5.
The determination result of the posting evaluation determination means and the information regarding the evaluation item selected by the posting evaluation determination means are transmitted to the communication terminal that is the transmission source of the posting schedule information among the plurality of communication terminals via the communication network. A post evaluation system characterized by further having a transmission means for transmission. A post evaluation server that sends and receives information via a plurality of communication terminals connected to a communication network and the communication network, and
Information to be managed by the post evaluation server, and one or more evaluation items indicating factors that may receive a negative evaluation in posting to the communication network and information on one or more negative words are stored in association with each other. A method in a system equipped with a storage device
A reception step in which the posting evaluation server receives posting schedule information including character information to be posted to the communication network from any communication terminal among the plurality of communication terminals.
A first keyword extraction step in which the post evaluation server extracts one or more first keywords from the post schedule information received in the reception 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. Then, when the first keyword corresponds to the negative word, the first negative word determination step of selecting and managing the evaluation item corresponding to the first keyword from the one or more evaluation items. ,
A post evaluation determination step in which the post evaluation server determines whether or not the content of the post schedule information may receive the negative evaluation based on at least the management content in the first negative word determination step. Post evaluation method characterized by having. The post evaluation method according to claim 7.
The post evaluation server executes a search using the communication network based on the first keyword extracted by the first keyword extraction step, and is an article related to the first keyword. Search steps to capture information about multiple articles, including comments from the above users,
A second keyword extraction step in which the post evaluation server extracts one or more second keywords from the information related 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. It further has a second negative word judgment step of judging each of a plurality of articles and managing the judgment result in association with the evaluation item.
In the post evaluation determination step,
Based on the management content in the first negative word determination step and the management content in the second negative word determination step, it is determined whether or not the content of the posting schedule information may receive the negative evaluation. Post evaluation method characterized by doing. The post evaluation method according to claim 8.
The post evaluation server further has a transmission step of transmitting the determination result in the post evaluation determination step to the communication terminal that is the transmission source of the posting schedule information among the plurality of communication terminals via the communication network. Post evaluation method featuring. The post evaluation method according to claim 8.
In the second negative word determination step,
Based on the plurality of articles obtained by the search in the search step, the ratio of the total number of comments belonging to the plurality of articles to the number of negative comments among the comments belonging to the plurality of articles is calculated and calculated. Based on the result, a negative evaluation value is calculated for each of the plurality of articles, a specific article whose calculation result is equal to or higher than the threshold value is selected from the plurality of articles, and the judgment result regarding the selected specific article is obtained. A post evaluation method characterized in that the evaluation results of negative articles are collectively managed in association with the evaluation items. The post evaluation method according to claim 10.
The post evaluation server determines 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 source of the posting schedule information. Judgment step and
The post evaluation server manages the determination result in the personal information determination step and the management content in the second negative word determination step, and is managed in association with the evaluation item as the determination result regarding the negative article. Further provided with a comparison step of comparing with the management contents and selecting an evaluation item from the evaluation items on the condition of the logical product of the judgment result regarding the personal information and the judgment result regarding the negative article.
In the post evaluation determination step,
Instead of the management content in the second negative word determination step, the evaluation item selected in the comparison step is taken in, and the logic of the incorporated evaluation item and the management content in the first negative word determination step. A post evaluation method characterized in that an evaluation item subject to a sum is selected from the evaluation items. The post evaluation method according to claim 11.
The post evaluation server transmits the determination result in the post evaluation determination step and the information regarding the evaluation item selected in the post evaluation determination step to the post schedule information among the plurality of communication terminals via the communication network. A post evaluation method characterized by further having a transmission step of transmitting to a communication terminal that is a transmission source of the above.

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