CN116306622B - AIGC comment system for improving public opinion atmosphere - Google Patents
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Abstract
The invention provides an AIGC comment system for improving public opinion atmosphere, which comprises a platform access module, a virtual identity module, a public opinion detection module and a comment generation module, wherein the platform access module is used for interfacing with a network platform community to obtain basic constituent elements of users in the network platform community, the virtual identity module is used for generating corresponding contents based on basic constituent requirements so as to create a virtual user identity, the public opinion detection module is used for analyzing comments in the network platform community and evaluating the public opinion environment, and the comment generation module is used for generating comments for improving the public opinion atmosphere; the system improves the environment of public opinion atmosphere by simulating the real person to make a plausible theory and neutralizing the plausible theory in the public opinion field.
Description
Technical Field
The invention relates to the field of electric digital data processing, in particular to an AIGC comment system for improving public opinion atmosphere.
Background
At present, with the rapid development of network technology, people rely on networks to acquire information more and more, network comments become an important channel for people to express viewpoints and exchange ideas, however, in network comments, due to the fact that rational people prefer not to speak in the network, aggressive people prefer to speak in the network, bad utterances such as malicious utterances, abuse, opponents and the like often occur in a network environment, and great negative effects are caused to mental health and social harmony of people. The current processing method is a method for blocking users and shielding partial vocabularies, but the method can activate contradiction, so that a system capable of automatically identifying, managing and improving comment atmosphere is required to be developed for solving the problem.
The foregoing discussion of the background art is intended to facilitate an understanding of the present invention only. This discussion is not an admission or admission that any of the material referred to was common general knowledge.
Many network comment systems have been developed, and through extensive searching and reference, existing comment identification systems are found to have a system as disclosed in publication number CN107239512B, and these system methods generally include: extracting the subjects related to the comments and the relation between the subjects, and establishing a comment relation network diagram model; secondly, creating an index for the crawled blogs Wen Yuliao library by using a Lucence full-text search engine and providing a full-text search function; and then, a text relevance model is adopted to replace a traditional text similarity calculation model to obtain relevance between comments and original blog texts, and the method can be improved and optimized on the basis of traditional naive Bayes from the relevant angles of comment texts and original blog texts, so that the spam comment recognition method purely based on a text probability statistical model is improved and optimized. But the system is only used to identify spam and cannot improve the consensus atmosphere.
Disclosure of Invention
The invention aims to provide an AIGC comment system for improving public opinion atmosphere aiming at the defects.
The invention adopts the following technical scheme:
an AIGC comment system for improving public opinion atmosphere comprises a platform access module, a virtual identity module, a public opinion detection module and a comment generation module;
the platform access module is used for interfacing with the network platform community and carrying out data transmission, the virtual identity module is used for creating a virtual user identity, the public opinion detection module is used for evaluating the public opinion environment, and the opinion generating module is used for generating comments for improving the public opinion atmosphere;
the public opinion detection module comprises a theme storage unit, a comment analysis unit and an atmosphere assessment unit, wherein the theme storage unit is used for storing access addresses of themes, the comment analysis unit obtains specific comment contents according to the access addresses and analyzes each comment content, and the atmosphere assessment unit assesses comprehensive public opinion atmosphere according to analysis results of all comment contents;
the topic storage unit comprises a popularity threshold calculation processor and an address register, wherein the popularity threshold calculation processor is used for calculating the popularity threshold of the network platform community, the address register is used for creating a storage area for each topic with popularity greater than the popularity threshold, the storage area is used for storing access addresses related to the corresponding topic, and when the popularity of the corresponding topic is lower than the popularity threshold, the address register is used for logging off the created corresponding storage area;
the comment analysis unit comprises a word stock register, a keyword retrieval processor and a comment analysis processor, wherein the word stock register is used for storing keywords and analysis indexes corresponding to the keywords, the keyword retrieval processor is used for finding out the keywords contained in one comment content and sending the corresponding analysis indexes as data information to the comment analysis processor, and the comment analysis processor calculates an analysis result according to the received data information;
further, the workflow of the system comprises the following steps:
s1, the platform access module is in butt joint with each network platform community, and basic constituent elements are obtained and sent to the virtual identity module;
s2, the public opinion detection module analyzes and evaluates comments in a theme of the network platform community which is completed in a butt joint mode, and when an evaluation result is bad, activation information is sent to the comment generation module;
s3, the comment generation module generates comment information and sends the comment information and the subject information to the virtual identity module;
s4, the virtual identity module creates a corresponding virtual user according to the received theme information, and publishes comment information in a corresponding network platform community according to the identity of the virtual user;
s5, waiting for a buffer time, evaluating the comments again, if the evaluation result is still "bad", jumping to the step S3, and if the evaluation result is "good", ending the process of improving the public opinion atmosphere of the theme;
further, the popularity threshold calculation processor obtains popularity values of N topics before popularity in the network platform community by usingIndicating (I)>The smaller i is, +>The larger the heat threshold calculation processor calculates the heat threshold +.>：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,is->Maximum value of>Is->Is the minimum value of (a);
further, the keywords in the thesaurus register are divided into malicious keywords and neutral keywords, and the comment analysis processor calculates the malicious index of each comment according to the following formula：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,an analysis index representing the i-th malicious keyword retrieved,/or->For the maximum analysis index of the retrieved neutral keywords, n1 is the number of the retrieved malicious keywords;
the comment analysis processor marks the comments with the malicious index being larger than a first threshold value as malicious comments, and marks the comments with the malicious index not being larger than the first threshold value as normal comments;
further, the atmosphere assessment unit calculates the atmosphere index Q of the subject according to the following formula:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,for the number of malicious comments, ++>For the number of normal comments, ++>A malicious index which is the ith malicious comment;
an atmosphere "bad" is evaluated when the atmosphere index is greater than the second threshold, and an atmosphere "good" is evaluated when the atmosphere index is not greater than the second threshold.
The beneficial effects obtained by the invention are as follows:
the system establishes an authorized relation with the network platform community, so that the virtual user can comment, the identity information of the virtual user has the randomized characteristic, the virtual user can not be considered as a water army or a robot, most of silent rational speaking is replaced, the public opinion environment is improved, the system quantitatively analyzes the heat of the theme and the malicious degree of the comment, the efficiency of improving the public opinion environment is improved, the system automatically monitors and processes the whole course, the labor cost is reduced, and the coverage of the network environment is more comprehensive.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structural framework of the present invention;
FIG. 2 is a schematic diagram of a virtual identity module according to the present invention;
FIG. 3 is a schematic diagram of a public opinion detection module according to the present invention;
FIG. 4 is a schematic diagram of a memory cell configuration according to the subject invention;
fig. 5 is a schematic diagram of the comment analysis unit according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides an AIGC comment system for improving public opinion atmosphere, which comprises a platform access module, a virtual identity module, a public opinion detection module and a comment generation module, and is combined with fig. 1;
the platform access module is used for interfacing with the network platform community and carrying out data transmission, the virtual identity module is used for creating a virtual user identity, the public opinion detection module is used for evaluating the public opinion environment, and the opinion generating module is used for generating comments for improving the public opinion atmosphere;
the public opinion detection module comprises a theme storage unit, a comment analysis unit and an atmosphere assessment unit, wherein the theme storage unit is used for storing access addresses of themes, the comment analysis unit obtains specific comment contents according to the access addresses and analyzes each comment content, and the atmosphere assessment unit assesses comprehensive public opinion atmosphere according to analysis results of all comment contents;
the topic storage unit comprises a popularity threshold calculation processor and an address register, wherein the popularity threshold calculation processor is used for calculating the popularity threshold of the network platform community, the address register is used for creating a storage area for each topic with popularity greater than the popularity threshold, the storage area is used for storing access addresses related to the corresponding topic, and when the popularity of the corresponding topic is lower than the popularity threshold, the address register is used for logging off the created corresponding storage area;
the comment analysis unit comprises a word stock register, a keyword retrieval processor and a comment analysis processor, wherein the word stock register is used for storing keywords and analysis indexes corresponding to the keywords, the keyword retrieval processor is used for finding out the keywords contained in one comment content and sending the corresponding analysis indexes as data information to the comment analysis processor, and the comment analysis processor calculates an analysis result according to the received data information;
the workflow of the system comprises the following steps:
s1, the platform access module is in butt joint with each network platform community, and basic constituent elements are obtained and sent to the virtual identity module;
s2, the public opinion detection module analyzes and evaluates comments in a theme of the network platform community which is completed in a butt joint mode, and when an evaluation result is bad, activation information is sent to the comment generation module;
s3, the comment generation module generates comment information and sends the comment information and the subject information to the virtual identity module;
s4, the virtual identity module creates a corresponding virtual user according to the received theme information, and publishes comment information in a corresponding network platform community according to the identity of the virtual user;
s5, waiting for a buffer time, evaluating the comments again, if the evaluation result is still "bad", jumping to the step S3, and if the evaluation result is "good", ending the process of improving the public opinion atmosphere of the theme;
the popularity threshold calculation processor obtains popularity values of N topics before popularity in a network platform community by usingIndicating (I)>The smaller i is, +>The larger the heat threshold value calculation processor calculates the heat threshold value according to the following formula：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,is->Maximum value of>Is->Is the minimum value of (a);
the keywords in the thesaurus register are divided into malicious keywords and neutral keywords, and the comment analysis processor calculates the malicious index of each comment according to the following formula：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,an analysis index representing the i-th malicious keyword retrieved,/or->For the maximum analysis index of the retrieved neutral keywords, n1 is the number of the retrieved malicious keywords;
the comment analysis processor marks the comments with the malicious index being larger than a first threshold value as malicious comments, and marks the comments with the malicious index not being larger than the first threshold value as normal comments;
the atmosphere assessment unit calculates an atmosphere index Q of the subject according to the following formula:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,for the number of malicious comments, ++>For the number of normal comments, ++>A malicious index which is the ith malicious comment;
an atmosphere "bad" is evaluated when the atmosphere index is greater than the second threshold, and an atmosphere "good" is evaluated when the atmosphere index is not greater than the second threshold.
Embodiment two: the embodiment includes the whole content of the first embodiment, and provides an AIGC comment system for improving public opinion atmosphere, which comprises a platform access module, a virtual identity module, a public opinion detection module and a comment generation module;
the platform access module is used for interfacing with the network platform community to obtain basic constituent elements of users in the network platform community, the virtual identity module generates corresponding content based on basic constituent requirements so as to create a virtual user identity, the public opinion detection module is used for analyzing comments in the network platform community and evaluating public opinion environment, and the comment generation module is used for generating comments for improving public opinion atmosphere;
the workflow of the system comprises the following steps:
s1, the platform access module is in butt joint with each network platform community, and basic constituent elements are obtained and sent to the virtual identity module;
s2, the public opinion detection module analyzes and evaluates comments in a theme of the network platform community which is completed in a butt joint mode, and when an evaluation result is bad, activation information is sent to the comment generation module;
s3, the comment generation module generates comment information and sends the comment information and the subject information to the virtual identity module;
s4, the virtual identity module creates a corresponding virtual user according to the received theme information, and publishes comment information in a corresponding network platform community according to the identity of the virtual user;
s5, waiting for a buffer time, evaluating the comments again, if the evaluation result is still "bad", jumping to the step S3, and if the evaluation result is "good", ending the process of improving the public opinion atmosphere of the theme;
the platform access module comprises a permission unit and a communication unit, wherein the communication unit is used for establishing a connection relation with the network platform communities and transmitting information to each other, the permission unit is used for generating and recording passes of each network platform community, and the network platform communities can allow virtual users to comment after identifying the passes;
referring to fig. 2, the virtual identity module includes an element storage unit, an element content generating unit and an input/output unit, where the element storage unit is configured to store basic element information of each network community platform user, the element content generating unit is configured to randomly generate corresponding content according to each element, and the input/output unit is configured to receive network community information and output a corresponding virtual identity, for example, the basic element is an ID, a class and an IP attribute, and due to the random generation, the IDs are different in style, the classes are uniformly distributed, the IP attribute is distributed in each province and is displayed in the network community in place of a real IP, so that the virtual identity is more like a real identity and is not considered as a bulk water army identity;
referring to fig. 3, the public opinion detection module includes a topic storage unit, a comment analysis unit and an atmosphere assessment unit, wherein the topic storage unit is used for storing an access address of a topic with higher popularity, the comment analysis unit obtains specific comment contents according to the access address and analyzes each comment content, and the atmosphere assessment unit assesses the comprehensive public opinion atmosphere according to the analysis results of all comment contents;
referring to fig. 4, the topic storage unit includes a popularity threshold calculation processor, which is used to calculate a popularity threshold of the web platform community, and an address register, which creates a storage area for each topic with popularity greater than the popularity threshold, and the storage area is used to store access addresses related to the corresponding topic, and when the popularity of a topic is lower than the popularity threshold, the address register logs off the created corresponding storage area;
the popularity threshold calculation processor obtains popularity values of N topics before popularity in a network platform community by usingIndicating (I)>The smaller i is, +>The larger the heat threshold value calculation processor calculates the heat threshold value according to the following formula：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,is->Maximum value of>Is->Is the minimum value of (a);
n is set by the staff;
referring to fig. 5, the comment analysis unit includes a word library register, a keyword search processor and a comment analysis processor, where the word library register is used to store keywords and analysis indexes corresponding to the keywords, the keywords are classified into malicious keywords and neutral keywords, the analysis indexes of the malicious keywords are used to represent the malicious degree of the malicious keywords, the analysis indexes of the neutral keywords are used to represent the range degree of the neutral keywords, and the keyword search processor is used to find out the keywords contained in one comment content and send the corresponding analysis indexes as data information to the comment analysis processor, and the comment analysis processor calculates an analysis result according to the received data information;
the comment analysis processor calculates the malice index of each comment according to the following formula：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,an analysis index representing the i-th malicious keyword retrieved,/or->For the maximum analysis index of the retrieved neutral keywords, n1 is the number of the retrieved malicious keywords;
the comment analysis processor marks the comments with the malicious index being larger than a first threshold value as malicious comments, and marks the comments with the malicious index not being larger than the first threshold value as normal comments;
the atmosphere assessment unit calculates an atmosphere index Q of the subject according to the following formula:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,for the number of malicious comments, ++>For the number of normal comments, ++>A malicious index which is the ith malicious comment;
it should be noted that i, although appearing in a different formula, acts only as a variable representing a number, without ambiguity;
an atmosphere "bad" is evaluated when the atmosphere index is greater than the second threshold, and an atmosphere "good" is evaluated when the atmosphere index is not greater than the second threshold;
the comment generation module comprises a theme analysis unit, a neutral word mapping unit and a word and sentence assembly unit, wherein the theme analysis unit is used for determining the theme content of an event, the neutral word mapping unit is used for mapping the neutral keywords in the malicious comments to obtain good words and sentences, and the word and sentence assembly unit is used for assembling the theme content and the good words and sentences into a complete comment by adding connecting words;
the topic analysis unit receives the activation information sent by the public opinion detection module, the activation information comprises an access address where a topic is located, the topic analysis unit reads text description of an event according to the access address and summarizes the text description to obtain topic contents, the topic contents comprise characters, places, time and events, and the topic analysis unit sends the topic contents to the word and sentence assembly unit;
the neutral word mapping unit classifies neutral words, each type of neutral words has a mapping relation with a good meaning word and sentence library, each good meaning word and sentence library is provided with a plurality of good meaning words and sentences, and the neutral word mapping unit randomly selects one good meaning word and sentence from the mapped good meaning word and sentence library and sends the good meaning word and sentence to the word and sentence assembly unit;
the types of neutral words include territory, sex, etc., for example, neutral words of territory type have names and abbreviations of various provinces, neutral words of sex type have names of men and women;
the word and sentence assembling unit comprises a connecting word library and a detection processor, the word and sentence assembling unit randomly acquires connecting words from the connecting word library, connects the connecting words with the good words and sentences and the subject content, and then sends the connecting words and the good words and sentences to the detection processor for sentence pattern detection, and when the detection result of the detection processor fails, the word and sentence assembling unit obtains new sentences again by changing the connection sequence of the acquired connecting words, the good words and sentences and the subject content until the new sentences are detected by the detection processor, and then sends the new sentences to the virtual identity module as formal comment content.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (4)
1. An AIGC comment system for improving public opinion atmosphere is characterized by comprising a platform access module, a virtual identity module, a public opinion detection module and a comment generation module;
the platform access module is used for interfacing with the network platform community and carrying out data transmission, the virtual identity module is used for creating a virtual user identity, the public opinion detection module is used for evaluating the public opinion environment, and the opinion generating module is used for generating comments for improving the public opinion atmosphere;
the public opinion detection module comprises a theme storage unit, a comment analysis unit and an atmosphere assessment unit, wherein the theme storage unit is used for storing access addresses of themes, the comment analysis unit obtains specific comment contents according to the access addresses and analyzes each comment content, and the atmosphere assessment unit assesses comprehensive public opinion atmosphere according to analysis results of all comment contents;
the topic storage unit comprises a popularity threshold calculation processor and an address register, wherein the popularity threshold calculation processor is used for calculating the popularity threshold of the network platform community, the address register is used for creating a storage area for each topic with popularity greater than the popularity threshold, the storage area is used for storing access addresses related to the corresponding topic, and when the popularity of the corresponding topic is lower than the popularity threshold, the address register is used for logging off the created corresponding storage area;
the comment analysis unit comprises a word stock register, a keyword retrieval processor and a comment analysis processor, wherein the word stock register is used for storing keywords and analysis indexes corresponding to the keywords, the keyword retrieval processor is used for finding out the keywords contained in one comment content and sending the corresponding analysis indexes as data information to the comment analysis processor, and the comment analysis processor calculates an analysis result according to the received data information;
the workflow of the system comprises the following steps:
s1, the platform access module is in butt joint with each network platform community, and basic constituent elements are obtained and sent to the virtual identity module;
s2, the public opinion detection module analyzes and evaluates comments in a theme of the network platform community which is completed in a butt joint mode, and when an evaluation result is bad, activation information is sent to the comment generation module;
s3, the comment generation module generates comment information and sends the comment information and the subject information to the virtual identity module;
s4, the virtual identity module creates a corresponding virtual user according to the received theme information, and publishes comment information in a corresponding network platform community according to the identity of the virtual user;
s5, waiting for a buffer time, evaluating the comments again, if the evaluation result is still "bad", jumping to the step S3, and if the evaluation result is "good", ending the process of improving the public opinion atmosphere of the theme.
2. The AIGC review system for improving a public opinion atmosphere of claim 1 wherein the popularity threshold calculation processor obtains popularity values for N topics N before popularity in a community of network platforms usingIndicating (I)>The smaller i is, +>The larger the heat threshold calculation processor calculates the heat threshold +.>：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,is->Maximum value of>Is->Is the minimum value of (a).
3. The AIGC review system for improving a public opinion atmosphere of claim 2 wherein the keywords in the thesaurus register are classified into malicious keywords and neutral keywords, and the review analysis processor calculates a malicious index of each review according to the following formula：
；
Wherein, the liquid crystal display device comprises a liquid crystal display device,an analysis index representing the i-th malicious keyword retrieved,/or->For the maximum analysis index of the retrieved neutral keywords, n1 is the number of the retrieved malicious keywords;
the comment analysis processor marks comments with a malicious index greater than a first threshold as malicious comments and marks comments with a malicious index not greater than the first threshold as normal comments.
4. The AIGC review system for improving a public opinion atmosphere according to claim 3, wherein the atmosphere assessment unit calculates the atmosphere index Q of the topic according to the following formula:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,for the number of malicious comments, ++>For the number of normal comments, ++>A malicious index which is the ith malicious comment;
an atmosphere "bad" is evaluated when the atmosphere index is greater than the second threshold, and an atmosphere "good" is evaluated when the atmosphere index is not greater than the second threshold.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115757939A (en) * | 2022-10-28 | 2023-03-07 | 江苏艾易欧建设科技有限公司 | Text travel public opinion popularity analysis method and system based on big data |
| CN115964574A (en) * | 2022-12-15 | 2023-04-14 | 南通大学 | Data mining-based intelligent traffic safety public opinion popularity evaluation method |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080052147A1 (en) * | 2006-07-18 | 2008-02-28 | Eran Reshef | System and method for influencing public opinion |
| US20140337328A1 (en) * | 2013-05-09 | 2014-11-13 | Veooz Labs Private Limited | System and method for retrieving and presenting concept centric information in social media networks |
| TWI601088B (en) * | 2014-10-06 | 2017-10-01 | Chunghwa Telecom Co Ltd | Topic management network public opinion evaluation management system and method |
| US10296837B2 (en) * | 2015-10-15 | 2019-05-21 | Sap Se | Comment-comment and comment-document analysis of documents |
| CN110516067B (en) * | 2019-08-23 | 2022-02-11 | 北京工商大学 | Public opinion monitoring method, system and storage medium based on topic detection |
| CN111461553A (en) * | 2020-04-02 | 2020-07-28 | 上饶市中科院云计算中心大数据研究院 | System and method for monitoring and analyzing public sentiment in scenic spot |
| CN112287070A (en) * | 2020-11-16 | 2021-01-29 | 腾讯科技（深圳）有限公司 | Method and device for determining upper and lower position relation of words, computer equipment and medium |
| US11741177B2 (en) * | 2021-03-03 | 2023-08-29 | International Business Machines Corporation | Entity validation of a content originator |
| CN115309815A (en) * | 2022-08-15 | 2022-11-08 | 陈武军 | Network public opinion monitoring system and method based on big data |
-
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