CN113032526A - Network public opinion multi-role simulation disposal system - Google Patents
Network public opinion multi-role simulation disposal system Download PDFInfo
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Abstract
The invention relates to the technical field of an artificial simulation disposal platform, in particular to an online public opinion multi-role simulation disposal system, which comprises a user management and login sub-module, an online public opinion disposal case library sub-module, an online public opinion simulation generation sub-module, an online public opinion simulation disposal visualization sub-module and an online public opinion knowledge learning sub-module, and is characterized in that: the user management and login submodule is provided with three types of personnel authorities including a super manager, an administrator and a role playing user. The invention generates various types of network public opinions, distributes the roles to different personnel for different functions, carries out network public opinion disposal according to the roles, compares disposal modes with case big data to obtain comprehensive scores and evaluate disposal effects, fills the blank of a simulation disposal platform for the network public opinions in the prior network public opinion technology, and can greatly improve the actual combat capability of the network public opinion disposal of related personnel through multiple rounds of simulation disposal training.
Description
Technical Field
The invention belongs to the technical field of simulation disposal platforms, and particularly relates to a network public opinion multi-role simulation disposal system.
Background
With the rapid development of the internet, the internet public sentiment becomes an important event type which influences the social stability and examines the government control ability, the internet public sentiment disposal becomes one of new important work of the government, and meanwhile, the internet public sentiment also becomes a pressure source and urgent skills of social subjects such as citizens, enterprises and public institutions, social organizations and the like.
In practice, network public sentiment is always suddenly broken out, many personnel involved in the network are deeply contacted with the network public sentiment for the first time under the condition of rough and shallow understanding, the timeliness of handling the network public sentiment is very strong, and the personnel involved in the network public sentiment are completely in the passive situation which cannot be handled, so that the public sentiment actual combat training for related personnel is very important.
The existing network public opinion technology focuses on the content monitoring and early warning of a plurality of media platforms such as information publishing platforms of Xinlang microblog, WeChat public number, self-media platform, forum and the like, development trend prediction, event handling and the like, the working process is about logging in, inputting monitoring keywords, detecting and monitoring the network according to the relation, reminding sensitive information, handling suggestions, effects and the like, meanwhile, the existing internet public opinion patent technology is mainly distributed in the aspects of a real-time monitoring system, video internet public opinion monitoring, internet public opinion identification, situation assessment method, risk assessment method, viewpoint collection method, data comparison analysis, false public opinion analysis, propagation situation media linkage analysis and the like, and the technology of an analog processing platform related to the internet public opinions is still in a blank state, so that a multi-role analog processing system for the internet public opinions is urgently needed to be designed to solve the problems.
Disclosure of Invention
The invention aims to provide a multi-role simulation processing system for network public sentiment, which solves the problem that the simulation processing platform for network public sentiment in the prior network public sentiment technology proposed in the background art is in a blank state.
In order to achieve the purpose, the invention provides the following technical scheme: a network public opinion multi-role simulation disposal system comprises a user management and login submodule, a network public opinion disposal case library submodule, a network public opinion simulation generation submodule, a network public opinion simulation disposal visual submodule and a network public opinion learning submodule, wherein the user management and login submodule is provided with three types of personnel authorities including a super manager, an administrator and role playing users, the network public opinion disposal case library submodule is provided with five units including a network public opinion case library unit, a network public opinion keyword analysis unit, an effective comment analysis unit, a response effect analysis unit and a disposal effect analysis unit, the network public opinion simulation generation submodule is provided with two modes for generating network public opinion cases, including an instant case for generating network public opinions and a mode for compiling the network public opinions by the administrator, and the network public opinion learning submodule is provided with three types of knowledge, the method comprises network public opinion theory knowledge, network public opinion disposal knowledge and spreading theory correlation theory.
Preferably, the super administrator has the highest system authority including code modification, system overall parameter change, administrator setting, role playing user authority setting and distribution, the administrator has system partial parameter change, role playing user authority setting and distribution, and the role playing users have simulated handling of network public opinion authority.
Preferably, each case of the network public opinion case library unit contains three aspects including specific public opinion content, article effective comments and network metadata.
Preferably, the online public opinion keyword analysis unit extracts the keywords of the collected public opinion cases by adopting an unsupervised keyword extraction method based on statistical characteristics, and stores the keywords as a key value content of the online public opinion event in a database.
Preferably, the effective comment analysis unit performs word segmentation processing on the effective comment by adopting a Chinese word segmentation method of a natural language processing technology, and the comment is automatically acquired and updated along with the event and is stored in the database.
Preferably, the response effect analysis unit analyzes the response event effect of the internet public opinion main body by adopting a Chinese word segmentation method of a natural language processing technology, and performs word segmentation processing on official responses.
Preferably, the disposing effect analyzing unit performs overall analysis on the disposing effect of the network public sentiment event by adopting a percentage system, comprehensively considers factors such as response effect and time proportion, and finally sums to obtain a comprehensive result.
Preferably, the two internet public sentiments generation modes of the internet public sentiment simulation generation submodule can simulate the internet public sentiments, and can simulate the public sentiment life cycle process according to the case matched with the case library to generate the internet public sentiment life cycle function.
Preferably, the network public opinion simulation disposal visualization sub-module can generate a life cycle function of the sub-module according to the network public opinion simulation, perform simulation by using ABM multi-agent modeling, and present a visual effect.
Compared with the prior art, the invention has the beneficial effects that: the network public opinion multi-role simulation disposal system generates various network public opinions, distributes the network public opinions to different roles of different personnel for different functions, disposes the network public opinions according to the roles, compares a disposal mode with case big data to obtain comprehensive scores and evaluate a disposal effect, fills the blank of a simulation disposal platform for the network public opinions in the existing network public opinion technology, and can greatly improve the actual combat capability of the network public opinion disposal of related personnel through multiple rounds of simulation disposal training.
(1) Through the user management and login submodule, an administrator can configure different roles, a treating person can determine which role to set according to the actual situation of the user, each role has corresponding responsibility and measures for automatically determining and processing the network public sentiment, different trends exist in the life cycle stage of the network public sentiment according to the treatment situation, whether the treatment decision is scientific or not is displayed, and various actual combat choices are provided for the treating person;
(2) the online public opinion handling case base submodule collects online public opinion events, the keyword clustering unit analyzes and classifies the collected online public opinion events, the handling method analysis unit analyzes related measures of handling online public opinions of related objects, the handling effect evaluation carries out comprehensive scoring on handling conditions, and the online public opinion simulation generation submodule can generate various types of online public opinions according to keyword simulation on the basis of the case base so as to provide handling personnel for online public opinion handling practice.
(3) Through the visual submodule of network public opinion simulation disposition, after the network public opinion simulation occurs, along with the visit of netizens, the heat value can be continuously increased, the role playing user decides whether to dispose, when to dispose, disposition scheme, response text and other various settings according to different roles, the key words such as disposition time, response content and the like are compared with the case library, the calculation is carried out according to the calculation formula of the subunits, disposition value is obtained, the life cycle curve is displayed, the disposition effect is judged according to the score and the curve, the process can be carried out for multiple times, the visual effect is presented, and the emergency disposition capability of the role playing user can be improved.
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FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a system block diagram of a user management and login submodule of FIG. 1 according to the present invention;
FIG. 3 is a block diagram of the sub-module of the case base of the network public opinion handling case of FIG. 1 according to the present invention;
fig. 4 is a block diagram of a network public opinion simulation generation sub-module in fig. 1 according to the present invention;
FIG. 5 is a block diagram of the network public opinion simulation disposition visualization sub-module of FIG. 1 according to the present invention;
FIG. 6 is a block diagram of the network public opinion knowledge learning submodule of FIG. 1 according to the present invention;
FIG. 7 is a flow chart of the system operation of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-7, an embodiment of the present invention is shown: a network public opinion multi-role simulation disposal system comprises a user management and login submodule, a network public opinion disposal case library submodule, a network public opinion simulation generation submodule, a network public opinion simulation disposal visual submodule and a network public opinion knowledge learning submodule, wherein the user management and login submodule is provided with three types of personnel authorities including a super manager, an administrator and role playing users, the network public opinion disposal case library submodule is provided with five units including a network public opinion case library unit, a network public opinion keyword analysis unit, an effective comment analysis unit, a response effect analysis unit and a disposal effect analysis unit, the network public opinion simulation generation submodule is provided with two modes of generating network public opinion cases, including an instant case for generating network public opinions and an administrator for compiling the network public opinions by itself, the instant case generation is after the administrator selects a key phrase, the module selects one or more network public opinions related to the key phrase from a public opinion case library, and an administrator selects one of a plurality of cases to generate a simulation case for a handler to perform simulation; the network public opinion simulating learning submodule is provided with three types of knowledge including network public opinion theoretical knowledge, network public opinion handling knowledge and spreading theory related theory, and is used for improving the theoretical level of a user and improving the handling capacity. The system can simulate the life cycle stages of network public sentiment outbreak, development, peak, decline and extinction, the public sentiment trend, the public sentiment heat degree and the decline time of each stage are determined according to the simulated treatment process, if the reaction is rapid and the treatment is proper, the public sentiment heat degree is low and the disappearance is rapid, the pressure of the main body of the public sentiment event is low, and if the reaction is slow and the treatment is used for dragging, releasing responsibility and seeing nothing, the public sentiment heat degree is high and the disappearance is slow, and the pressure of the main body of the public sentiment event is high.
For simulating and disposing the network public sentiment, the system can be configured with different roles, such as a unit main responsible person role, an office responsible person role, a propaganda department responsible person role, a trouble secondary unit responsible person role, a trouble personal role and the like, which roles can be set according to the actual conditions of a user, each role has corresponding responsibility and measures for automatically determining and disposing the network public sentiment, and different trends can be generated in the life cycle stage of the network public sentiment according to the disposition conditions to display whether the disposition decision is scientific or not.
The system evaluates the simulated treatment effect of the network public sentiment to score and distinguish whether the treatment is proper or not, wherein the evaluation score is based on the conventional network public sentiment case big data mining, such as the integration of various conditions of event response timeliness, response modes, response file contents, online friend questioning solution and the like.
Furthermore, the super manager has the highest system authority, including code modification, system overall parameter change, manager setting, role playing user authority setting and distribution, the manager has system partial parameter change, role playing user authority setting and distribution, and the role playing user has simulated handling network public opinion authority, because the system is used for simulating handling network public opinion, and is used by users in common government departments, enterprises and public institutions and the like, the user password adopts an MD5 encryption mode, and the role playing user is used for simulating the role of a person in charge of an actual public opinion handling department and has simulated handling network public opinion and other authorities, such as public opinion grade judgment, public opinion qualification, handling personnel involved, reply scheme decision, interview acceptance, effect evaluation, responsibility investigation and other authorities.
Furthermore, each case of the online public opinion case library unit comprises three aspects including specific public opinion content, effective article comments and network metadata, the module collects online public opinion events which occur recently from the internet, and once the online public opinion occurs, no matter how much the event influence is, the module can cause certain even great influence on related units and individuals, so the module can fully collect the online public opinion, the main sources are network platforms such as news websites, self-media platforms, microblogs, forums and the like, wherein the specific public opinion content comprises information such as public opinion names, article titles, article contents, article total quantity and the like, the effective article comments refer to related comment information which exceeds a certain number of words, carries out question and question on the online public opinion, the comment information has an important role in handling and asking the online public opinion, and whether the number of words accords with the set lowest number or not is judged first when the effective comment is collected, and if the answer is yes, acquiring, wherein the network metadata comprises information such as article provenance, release time, reading quantity, forwarding and comment quantity, article website and the like.
Furthermore, the network public opinion keyword analysis unit adopts an unsupervised keyword extraction method based on statistical characteristics to extract keywords of the collected public opinion cases, the keywords are used as key value contents of the network public opinion events to be stored in a database, the unit carries out word segmentation on the titles and the contents by using a Chinese word segmentation method of natural language processing technology on the collected specific public opinion contents, namely article titles and article contents, carries out part-word tagging on the titles and the contents, removes words such as language and atmosphere words, auxiliary words, adjectives and the like, and then stores the words in the database.
Furthermore, the effective comment analysis unit adopts a Chinese word segmentation method of a natural language processing technology to perform word segmentation processing on the effective comments, the comments are automatically acquired and updated along with events and stored in a database, the effective comment analysis unit analyzes 'effective comment' information of network public opinion news and serves as an important basis of subsequent links, word segmentation results are compared with an emotion word library, and words and sentences with questionability and questionability are segmented; and clustering the words and sentences, storing the first 10 items to represent the question points of netizens on the event, and taking the question points as references of subsequent links conveniently.
Furthermore, the response effect analysis unit adopts a Chinese word segmentation method of a natural language processing technology to analyze the response event effect of the main body of the network public opinion, and performs word segmentation processing on the official response, wherein the life cycle of the network public opinion is short and closely related to factors such as the response timeliness of the main body and the response effectiveness of the official response content to the main body appeal, the official response keyword is compared with the network public opinion keyword of the event and 10 effective comment keywords, one consistency is represented by 1, the inconsistency is represented by 0, the basic consistency is represented by-1, a matrix with 2 rows and 10 columns at most is formed and multiplied by a matrix (the matrix represents the best response) with 10 rows and 1 columns at most, and the operation result is used for inspecting the response and the solution degree of the official response to the public question.
Further, the disposal effect analysis unit performs overall analysis on the disposal effect of the network public sentiment event by adopting percentage, comprehensively considers factors such as response effect and time proportion, and finally sums to obtain a comprehensive result, wherein the comprehensive result specifically comprises 5 variables: t 1-represents the public sentiment outbreak time, t 2-represents the event of the action of the object, t 3-represents the public sentiment peak appearance time, and t 4-represents the disappearance of the public sentiment, i.e., the end time of the life cycle. The invention judges the treatment effect, comprehensively considers factors such as response effect, time proportion and the like, and finally sums to obtain a comprehensive result, wherein the formula is
Wherein R is the responsive effect in (4).
Furthermore, the two network public sentiment generation modes of the network public sentiment simulation generation submodule can simulate the network public sentiment, can simulate the public sentiment life cycle process according to the case matched with the case library to generate a network public sentiment life cycle function, and can extract partial effective comments of netizens to simulate the question of the netizens about the event according to the case library so as to investigate the handling complexity of the role-playing users. The network public opinion life cycle function is
r0Is an initial value, k is the number of netizens accessing the network public opinion, t is the running time, WhFor each netizen calorific value weight coefficient, AdValue added to network public sentiment for each netizen, DeThe value of the reduction of the online public opinion hotspot at each moment is R, and R is the response effect value of the response effect analysis unit.
Furthermore, the visual submodule of network public opinion simulation disposal can generate a life cycle function of the submodule according to network public opinion simulation, modeling is carried out simulation by using an ABM multi-agent, and a visual effect is presented. After network public opinion simulation occurs, the popularity value can be continuously increased along with access of netizens, at the moment, a role playing user determines whether to dispose, when to dispose, dispose schemes, response texts and other various settings according to different roles, keywords such as disposition time, response contents and the like are compared with a case library and calculated according to the calculation formula of each subunit, disposition score is obtained, a life cycle curve is displayed, disposition effects are judged according to scores and curves, and the process can be carried out for multiple times so as to improve the emergency disposition capability of the role playing user.
The working principle is as follows: when the system is used, a super manager logs in the system and checks whether the code normally runs or not through the user management and login submodule, meanwhile, fine adjustment is carried out on the whole parameters of the system, the manager is set and distributed to a part of role-playing users according to actual requirements, then the manager logs in, the role-playing users are further set or adjusted according to actual conditions, the role-playing users can simulate the role of a person responsible for an actual public opinion handling department during logging in, the authority of simulating handling of the network public opinions is possessed, and measures for handling the network public opinions can be determined according to corresponding roles of the roles.
The online public opinion event is collected by an online public opinion handling case library submodule, the collected online public opinion event is analyzed and classified by a keyword clustering unit, the handling method analysis unit analyzes related behaviors of handling online public opinion related to an affair object, the handling effect evaluation carries out comprehensive scoring on handling conditions, an online public opinion simulation generation submodule can generate various types of online public opinions for a handler to carry out online public opinion handling practice based on the case library according to keyword simulation, after the online public opinion simulation is generated, the heat value can be continuously increased along with access of netizens, a role playing user determines whether to handle, when to handle, a handling scheme, a response text and other various settings according to different roles, and the keywords such as handling time, response content and the like are compared with the case library, and calculating according to the above subunit formula to obtain disposal score, displaying life cycle curve, and judging disposal effect according to the score and curve, wherein the process can be carried out for multiple times, and visual effect is presented, thereby improving emergency disposal capability of the role-playing user.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. The utility model provides a many roles of network public opinion simulate processing system, includes that user management and login submodule piece, network public opinion handle case library submodule piece, network public opinion simulate and generate submodule piece, network public opinion simulate and handle visual submodule piece and network public opinion knowledge learning submodule piece, its characterized in that: the user management and login submodule is provided with three types of personnel authorities and comprises a super manager, an administrator and role play users, the network public opinion handling case library submodule is provided with five units and comprises a network public opinion case library unit, a network public opinion keyword analysis unit, an effective comment analysis unit, a response effect analysis unit and a handling effect analysis unit, the network public opinion simulation generation submodule is provided with two modes for generating network public opinion cases, including that a case generates network public opinions and a simulated network public opinion is written by the administrator, and the network public opinion knowledge learning submodule is provided with three types of knowledge and comprises network public opinion theoretical knowledge, network public opinion handling knowledge and related theory of spreading.
2. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the super manager has the highest system authority including code modification, system overall parameter change, manager setting and role playing user authority setting and distributing, and the manager has system partial parameter change, role playing user authority setting and distributing, and the role playing users have simulated handling network public opinion authority.
3. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: each case of the network public opinion case library unit has three aspects including specific public opinion content, effective article comments and network metadata.
4. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the network public opinion keyword analysis unit adopts an unsupervised keyword extraction method based on statistical characteristics to extract the keywords of the collected public opinion cases, and stores the keywords as key value content of the network public opinion events in a database.
5. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the effective comment analysis unit carries out word segmentation processing on the effective comments by adopting a Chinese word segmentation method of a natural language processing technology, and the comments are automatically collected and updated along with events and are stored in a database.
6. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the response effect analysis unit analyzes the response event effect of the network public opinion main body by adopting a Chinese word segmentation method of a natural language processing technology and performs word segmentation processing on official responses.
7. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the handling effect analysis unit performs overall analysis on the handling effect of the network public sentiment event by adopting a percentile system, comprehensively considers factors such as response effect and time proportion, and finally sums to obtain a comprehensive result.
8. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the two network public sentiment generation modes of the network public sentiment simulation generation submodule can simulate network public sentiment, and can simulate a public sentiment life cycle process according to the case matched with the case library to generate a network public sentiment life cycle function.
9. The system of claim 1, wherein the internet public opinion multi-role simulation disposal system comprises: the network public opinion simulation disposal visualization submodule can generate a life cycle function of the submodule according to network public opinion simulation, use ABM multi-agent modeling for simulation, and present a visual effect.
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| CN118114654A (en) * | 2024-04-23 | 2024-05-31 | 厦门报数信息科技有限公司 | Internet public opinion simulation drilling system based on data interaction |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118114654A (en) * | 2024-04-23 | 2024-05-31 | 厦门报数信息科技有限公司 | Internet public opinion simulation drilling system based on data interaction |
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Application publication date: 20210625 |