CN113704636A - Fused media public opinion analysis method based on information dissemination - Google Patents
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Abstract
The invention relates to the technical field of converged media, and discloses a converged media public opinion analysis method based on information dissemination, which comprises the following steps: s1: public sentiment collection, namely collecting the public sentiments, and collecting headquarters and new media accounts of each unit during collection; s2: public opinion monitoring, namely optimizing public opinion grading early warning during detection, realizing fine early warning and display according to property, topic, event grading, danger source and hazard degree, and meeting the functions of network tracing, topic division, semantic analysis, position judgment and the like; s3: and comprehensively analyzing the public opinion situation. The invention realizes the deep data mining and analysis of any specified public opinion event, optimizes the public opinion collection function, displays the hotspot information through the heat model, provides decision basis for research and judgment work, provides a multi-dimensional analysis visual angle, realizes the analysis functions of front-back comparison statistics and the like of related public opinions after public opinion guide work is carried out, and carries out quantitative analysis on the public opinion guide effect.
Description
Technical Field
The invention relates to the technical field of converged media, in particular to a converged media public opinion analysis method based on information dissemination.
Background
The traditional media and the new media are deeply developed, are the basic characteristics of ecological reconstruction of China's public opinion media, and are also important directions for improving quality, increasing efficiency and improving upgrading of propaganda work. The new media pattern and the ecological change of public opinion require to actively embrace the internet era, integrate the whole media trend, build and expand a whole media platform which speaks a 'national network story' and transmits 'national network sound', and strive to build the wind-clearing and qi-clearing public opinion atmosphere; the complexity and the challenge of realizing the public opinion environment at the central authorities are consciously realized, the public opinion risks faced by the company for reformation development and market supervision are seriously analyzed, the concern is actively responded, the public opinion is actively guided, the credibility is increased, the doubt is released, the initiative of promoting the problem solution is mastered, and the development consensus is enhanced.
At present, news publicity resource sharing, multimedia display and media monitoring of companies are realized by building a media-harmonizing cloud, an existing brand construction management system and a public opinion management system need to be integrated, internal and external websites of the companies are perfected and upgraded, news publicity data resources of each unit of the companies are synchronously accessed, media interconnection, personnel interconnection, data interconnection, technical interconnection and operation interconnection are realized, all publicity resources and news contents of the company system are integrated, all-round coverage, all-weather extension and multi-field expansion of the company news publicity are realized, company voice is directly pushed to enter a user terminal, but no good method is available for managing and analyzing the public opinion of the media-harmonizing cloud.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a media public opinion fusion analysis method based on information transmission, which mainly solves the problem that the existing media public opinion fusion management and analysis method is not perfect.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme:
a media-oriented public opinion analysis method based on information dissemination comprises the following steps:
s1: public sentiment collection, namely collecting the public sentiments, and collecting headquarters, new media account numbers (microblogs, WeChat public numbers, national net headings and the like) of each unit during collection;
s2: public opinion monitoring, namely optimizing public opinion grading early warning (red, orange and blue) during detection, realizing fine early warning and display according to property, topic, event grading, danger source and hazard degree, meeting the functions of network tracing, topic division, semantic analysis, position judgment and the like, quickly sensing the latest public opinion situation and providing visual display;
s3: the public opinion situation is comprehensively analyzed, the whole network monitoring is carried out through the event topic, data such as websites, microblogs, government affairs, WeChat, news, forums, blogs, client sides, newspapers, foreign media and videos related to the event are comprehensively obtained, traceability information, development tendency, propagation condition, netizens, media influence and the like are rapidly provided, the display result is rich, and corresponding reports can be generated and exported in a user-defined time period;
s4: public opinion management, namely managing and controlling public opinions after finding public opinion information, strictly monitoring the public opinions and transmitting data in time;
s5: the public opinion guide asset library is used for managing daily public opinion reports, negative lists and case libraries of public opinions of various units such as headquarters, provincial companies, prefectural and county companies, direct unit publicity departments and the like, and providing inquiry, search, sharing and maintenance of asset library contents;
s6: public sentiment is on duty, and the public sentiment is managed and controlled according to time and place to carry out the scheduling.
On the basis of the scheme, when public sentiment collection is performed in the step S1, search sites such as a hundred degree search, a 360 search, a dog search and the like are newly integrated into a public sentiment system, so that unified site search and unified integration are realized.
As a further scheme of the present invention, in S2, based on an artificial intelligence operation technique, the subject event is transmitted to internet platforms such as media, microblogs, wechat, websites, forums, and clients.
Further, public sentiment intelligent early warning micro-service pushing is implemented in the step S2, and when public sentiment information intensity triggers an early warning red line, automatic prompting such as large screen, micro-letter service numbers and short messages is realized.
Based on the above scheme, in S3, internet hot topics are counted by a hot frequency and hot word segmentation technology for linkage analysis.
In a further aspect of the present invention, in S6, the public opinion monitoring office staff on duty in headquarters, provincial companies, prefecture and county companies, and affiliated units perform public opinion on-duty scheduling management, on-duty log, and monitoring log recording and feedback.
Further, in S4, the public sentiment is monitored daily at the beginning, and then whether the public sentiment has sensitivity and grade is monitored, if yes, heat analysis is conducted to study and judge, then emergency plan issue is conducted, then disposal work is conducted, and finally the process is ended.
On the basis of the scheme, early warning intelligent pushing is simultaneously carried out after the start in S4, early warning pushing content is directly sent to a heat degree analysis and judgment step for analysis and research, and finally emergency treatment is carried out.
In a further aspect of the present invention, in S3, by counting reading numbers, praise numbers, comment numbers, distribution of distribution channels, media distribution, geographical distribution, user figures, and the like of news dissemination, comprehensive analysis is performed on the dissemination effect of a currently publicized task or a currently guided focused attention task, and indexes such as the distribution cycle, the dissemination amount, the audience range, the daily average online user visit amount, the online user interaction degree, and the online user stickiness of various media are directed at the influence of the media.
(III) advantageous effects
Compared with the prior art, the invention provides a media public opinion fusion analysis method based on information transmission, which has the following beneficial effects:
1. the invention optimizes public opinion monitoring and grading early warning based on big data and artificial intelligence technology, is more accurate, manages and controls the public opinion after finding the public opinion information, strictly monitors the public opinion information, transmits data in time, realizes the work cooperation of public opinion emergency of headquarters, provinces, companies, cities, counties and direct units, shares information, follows-up tracking of emergency guidance, and reduces the negative effect of the public opinion.
2. The method generates and exports corresponding reports in a user-defined time period, realizes deep data mining and analysis of any specified public sentiment event, optimizes the public sentiment collection function, and realizes automatic judgment and message early warning of collection failure sites.
3. The intelligent operation is carried out through the data model, the public sentiment propagation heat is visually presented, and the propagation effect of the theme event is objectively and accurately reflected.
4. Through public opinion intelligence early warning micro service propelling movement, when public opinion information intensity triggered early warning red line, realize automatic suggestion such as large-size screen, little letter service number, SMS, effectively promote accuracy and the timeliness of network emergency early warning mechanism, can analyze and extract current popular topic ranks and heat value, carry out regional hotspot concern analysis and hotspot rank analysis, and show the hot information through the heat model, for research and judgment work provides the decision-making basis, provide the multidimension analysis visual angle, realize public opinion guide work and carry out the analysis function such as the front and back comparison statistics of relevant public opinion after carrying out, carry out quantitative analysis to public opinion guide success.
Drawings
Fig. 1 is a schematic flow structure diagram of a media public opinion fusion analysis method based on information dissemination according to the present invention.
Fig. 2 is a schematic diagram of a public opinion management flow structure of a media-based public opinion analysis method based on information dissemination according to 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.
Example 1
Referring to fig. 1-2, a media public opinion fusion analysis method based on information dissemination includes the following steps:
s1: public sentiment collection, namely collecting the public sentiments, and collecting headquarters, new media account numbers (microblogs, WeChat public numbers, national net headings and the like) of each unit during collection;
s2: public opinion monitoring, namely optimizing public opinion grading early warning (red, orange and blue) during detection, realizing fine early warning and display according to property, topic, event grading, danger source and hazard degree, meeting the functions of network tracing, topic division, semantic analysis, position judgment and the like, quickly sensing the latest public opinion situation, providing visual display, and optimizing the public opinion monitoring grading early warning based on big data and artificial intelligence technology;
s3: the public opinion situation comprehensive analysis is realized, the whole network monitoring is carried out through the event topic, the data of websites, microblogs, government affairs, WeChat, news, forums, blogs, client sides, newspapers, foreign media, videos and the like related to the event are comprehensively obtained, the tracing information, the development trend, the propagation condition, netizens, media influence and the like are rapidly provided, the display result is rich, corresponding reports can be generated and exported in a self-defined time period, and the deep data mining and analysis of any specified public opinion event are realized;
s4: public opinion management, namely managing and controlling public opinions after finding public opinion information, strictly monitoring the public opinion information, transmitting data in time, realizing the work cooperation of public opinion emergency of headquarters, provinces, companies, cities, counties and direct units, and reducing the negative influence of the public opinions by information sharing and emergency guidance;
s5: the public opinion guide asset library is used for managing daily public opinion reports, negative lists and case libraries of public opinions of various units such as headquarters, provincial companies, prefectural and county companies, direct unit publicity departments and the like, and providing inquiry, search, sharing and maintenance of asset library contents;
s6: public sentiment is on duty, and the public sentiment is managed and controlled according to time and place to carry out the scheduling.
In the invention, when public sentiment collection is carried out in S1, search sites such as hundred, 360 and dog search are newly added to a public sentiment system in a unified manner, unified site search and unified integration are realized, a public sentiment collection function is optimized, automatic discrimination and message early warning of a collection failure site are realized, in S2, based on an artificial intelligent operation technology, propagation data of a subject event on Internet platforms such as media, microblogs, WeChat, websites, forums and client sides are intelligently operated through a data model, public sentiment propagation heat is visually presented, the propagation effect of the subject event is objectively and accurately reflected, in S2, public sentiment intelligent early warning micro-service push is implemented, when the public sentiment information intensity triggers an early warning red line, automatic prompting such as large screen, WeChat service number and short message is realized, and the accuracy and timeliness of a network emergency early warning mechanism are effectively improved.
It should be particularly noted that, in S3, internet hot topics are counted by a hot frequency and hot word segmentation technology for linkage analysis, current hot topic ranking and hot value are analyzed and extracted, regional hot concern analysis and hot ranking analysis are performed, hot information is displayed by a hot model to provide decision basis for research and judgment work, in S6, staff in headquarters, province companies, prefecture and county companies and direct unit on-duty public opinion monitoring rooms manage on-duty according to attribution management, record and feedback of on-duty logs and monitoring logs are performed, in S4, public opinions are daily monitored at the beginning, whether sensitivity and grade are monitored, if yes, thermal analysis and judgment are performed, then emergency preplan issue is performed, then handling work is performed, and finally, after the beginning in S4, early warning intelligent pushing is performed at the same time, early warning pushed content is directly sent to a thermal analysis and judgment step for analysis and research, and finally, performing emergency treatment.
Example 2
Referring to fig. 1-2, a media public opinion fusion analysis method based on information dissemination includes the following steps:
s1: public sentiment collection, namely collecting the public sentiments, and collecting headquarters, new media account numbers (microblogs, WeChat public numbers, national net headings and the like) of each unit during collection;
s2: public opinion monitoring, namely optimizing public opinion grading early warning (red, orange and blue) during detection, realizing fine early warning and display according to property, topic, event grading, danger source and hazard degree, meeting the functions of network tracing, topic division, semantic analysis, position judgment and the like, quickly sensing the latest public opinion situation, providing visual display, and optimizing the public opinion monitoring grading early warning based on big data and artificial intelligence technology;
s3: the public opinion situation comprehensive analysis is realized, the whole network monitoring is carried out through the event topic, the data of websites, microblogs, government affairs, WeChat, news, forums, blogs, client sides, newspapers, foreign media, videos and the like related to the event are comprehensively obtained, the tracing information, the development trend, the propagation condition, netizens, media influence and the like are rapidly provided, the display result is rich, corresponding reports can be generated and exported in a self-defined time period, and the deep data mining and analysis of any specified public opinion event are realized;
s4: public opinion management, namely managing and controlling public opinions after finding public opinion information, strictly monitoring the public opinion information, transmitting data in time, realizing the work cooperation of public opinion emergency of headquarters, provinces, companies, cities, counties and direct units, and reducing the negative influence of the public opinions by information sharing and emergency guidance;
s5: the public opinion guide asset library is used for managing daily public opinion reports, negative lists and case libraries of public opinions of various units such as headquarters, provincial companies, prefectural and county companies, direct unit publicity departments and the like, and providing inquiry, search, sharing and maintenance of asset library contents;
s6: public sentiment is on duty, and the public sentiment is managed and controlled according to time and place to carry out the scheduling.
In the invention, when public sentiment collection is carried out in S1, search sites such as hundred, 360 and dog search are newly added to a public sentiment system in a unified manner, unified site search and unified integration are realized, a public sentiment collection function is optimized, automatic discrimination and message early warning of a collection failure site are realized, in S2, based on an artificial intelligent operation technology, propagation data of a subject event on Internet platforms such as media, microblogs, WeChat, websites, forums and client sides are intelligently operated through a data model, public sentiment propagation heat is visually presented, the propagation effect of the subject event is objectively and accurately reflected, in S2, public sentiment intelligent early warning micro-service push is implemented, when the public sentiment information intensity triggers an early warning red line, automatic prompting such as large screen, WeChat service number and short message is realized, and the accuracy and timeliness of a network emergency early warning mechanism are effectively improved.
It should be particularly noted that, in S3, internet hot topics are counted by a hot frequency and hot word segmentation technology for linkage analysis, current hot topic ranking and hot value are analyzed and extracted, regional hot concern analysis and hot ranking analysis are performed, hot information is displayed by a hot model to provide decision basis for research and judgment work, in S6, staff in headquarters, province companies, prefecture and county companies and direct unit on-duty public opinion monitoring rooms manage on-duty according to attribution management, record and feedback of on-duty logs and monitoring logs are performed, in S4, public opinions are daily monitored at the beginning, whether sensitivity and grade are monitored, if yes, thermal analysis and judgment are performed, then emergency preplan issue is performed, then handling work is performed, and finally, after the beginning in S4, early warning intelligent pushing is performed at the same time, early warning pushed content is directly sent to a thermal analysis and judgment step for analysis and research, and finally, performing emergency processing, wherein in S3, comprehensive analysis is performed on the spreading effect conditions of the current publicizing task or the guiding key focus-focused task by counting the reading number, praise number, comment number, distribution of distribution channels, media distribution, regional distribution, user portrait and the like of news spreading, and indexes such as the distribution period, the distribution amount, the audience range, the daily average online user access amount, the netizen interaction degree, the online user viscosity and the like of various media provide a multi-dimensional analysis view for the media influence, so that analysis functions such as front-back comparison statistics and the like of related public opinions after public opinion guiding work is carried out are realized, and quantitative analysis is performed on public opinion guiding success.
In the description herein, it is noted that relational terms such as first and second, and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A media-oriented public opinion analysis method based on information dissemination is characterized by comprising the following steps:
s1: public sentiment collection, namely collecting the public sentiments, and collecting headquarters, new media account numbers (microblogs, WeChat public numbers, national net headings and the like) of each unit during collection;
s2: public opinion monitoring, namely optimizing public opinion grading early warning (red, orange and blue) during detection, realizing fine early warning and display according to property, topic, event grading, danger source and hazard degree, meeting the functions of network tracing, topic division, semantic analysis, position judgment and the like, quickly sensing the latest public opinion situation and providing visual display;
s3: the public opinion situation is comprehensively analyzed, the whole network monitoring is carried out through the event topic, data such as websites, microblogs, government affairs, WeChat, news, forums, blogs, client sides, newspapers, foreign media and videos related to the event are comprehensively obtained, traceability information, development tendency, propagation condition, netizens, media influence and the like are rapidly provided, the display result is rich, and corresponding reports can be generated and exported in a user-defined time period;
s4: public opinion management, namely managing and controlling public opinions after finding public opinion information, strictly monitoring the public opinions and transmitting data in time;
s5: the public opinion guide asset library is used for managing daily public opinion reports, negative lists and case libraries of public opinions of various units such as headquarters, provincial companies, prefectural and county companies, direct unit publicity departments and the like, and providing inquiry, search, sharing and maintenance of asset library contents;
s6: public sentiment is on duty, and the public sentiment is managed and controlled according to time and place to carry out the scheduling.
2. The method as claimed in claim 1, wherein the unified integration of search sites such as new popularity, 360 degrees, and dog search into the public opinion system is performed when collecting public opinions in S1, so as to implement unified site search and unified integration.
3. The method for analyzing the converged media public opinion based on information dissemination according to claim 1, wherein in S2, the topic events are disseminated in media, microblogs, WeChat, websites, forums, clients and other internet platforms based on artificial intelligence operation technology.
4. The method as claimed in claim 3, wherein the step S2 is implemented with intelligent early warning of public sentiment and micro service push, and when the intensity of public sentiment triggers the early warning red line, automatic prompt such as large screen, micro service number, short message is realized.
5. The method for analyzing the converged media public opinion based on information dissemination according to claim 1, wherein the internet hot topics are counted by a hot frequency and hot word segmentation technology in the S3 for linkage analysis.
6. The method for analyzing the converged media public sentiment based on information dissemination according to claim 5, wherein in the step S6, the public sentiment on duty management, the log on duty and the monitoring log are recorded and fed back by the staff of headquarters, provincial companies, prefecture and county companies and the public sentiment monitoring rooms on duty managed by the locality.
7. The method as claimed in claim 1, wherein in S4, the public sentiment is monitored daily at the beginning, and then monitored whether it has sensitivity and grade, if so, then heat analysis is made, and then emergency plan issue is performed, then disposal is performed, and finally the method is finished.
8. The method of claim 7, wherein early warning intelligent pushing is performed after the beginning of S4, and early warning pushing content is directly sent to a hotness analysis and judgment step for analysis and research, and finally emergency treatment is performed.
9. The method for analyzing the public opinion of the converged media based on the information dissemination of claim 1, wherein in S3, the dissemination effect of the currently publicized task or the guided focused attention task is comprehensively analyzed by counting the reading number, the praise number, the comment number, the distribution of the publishing channels, the media distribution, the geographical distribution, the user profile and the like of the news dissemination, and indexes such as the publishing period, the publishing amount, the audience range, the daily average online user access amount, the netizen interaction degree, the online user stickiness and the like of various media are used for the influence of the media.
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| CN114513334B (en) * | 2022-01-13 | 2023-11-28 | 卡奥斯工业智能研究院(青岛)有限公司 | Risk management method and risk management device |
| CN114547167A (en) * | 2022-01-27 | 2022-05-27 | 启明信息技术股份有限公司 | Automobile public opinion sentiment analysis method |
| CN117131944A (en) * | 2023-10-24 | 2023-11-28 | 中国电子科技集团公司第十研究所 | Multi-field-oriented interactive crisis event dynamic early warning method and system |
| CN117131944B (en) * | 2023-10-24 | 2024-01-12 | 中国电子科技集团公司第十研究所 | Multi-field-oriented interactive crisis event dynamic early warning method and system |
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