CN111310021A - Network public opinion monitoring method - Google Patents
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- 238000000605 extraction Methods 0.000 claims description 23
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Abstract
The invention discloses an online public opinion monitoring method, which comprises the following steps: s1, establishing an online public opinion keyword database; s2, collecting network public opinion topic information; s3, extracting keywords of the network public sentiment topic information and comparing the keywords with a database for analysis; s4, collecting and screening network public opinion comment information; s5, tracking rumor, terror and other words endangering social security, informing relevant workers to pay attention to the rumor, terror and other words endangering social security in the topic information and comment information, tracking and surveying the rumor, terror and other words informatiology endangering social security, and sending the survey result to the relevant workers for processing. The invention judges the public opinion trend by classifying, screening and analyzing the popular events under time, effectively processes the seriously harmed public security opinion, monitors the network public opinions, and makes corresponding processing modes aiming at different public opinions, thereby avoiding the harm of the network public opinions to the society.
Description
Technical Field
The invention relates to the technical field of network public opinion monitoring means, in particular to a network public opinion monitoring method.
Background
As the technology of the internet is updated day by day, the internet has begun to penetrate the aspects of daily life, people are more and more accustomed to sharing various information data, expressing appeal and establishing a word contribution through communication ways such as micro blogs, WeChats, blogs, forums and the like, and public opinion on the network has important influence on daily life.
Because of the virtualization of public opinion, people want to worry about expression on the network, and even begin to ignore moral and legal restrictions, so that the network public opinion needs to be monitored. The existing monitoring means is too simple, negative speech information is often deleted or other methods are carried out to prevent the negative information from flowing into the sight of the public, however, the frequency of emergency occurrence is quite the same, various information transmission ways are quite many, and if the public opinion processing means is carried out by only blocking information, the effect is effective, and the public guess is caused to be in a more disordered situation.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a network public opinion monitoring method which judges the public opinion trend by classifying, screening and analyzing popular events under time, effectively processes the seriously harmed public security opinion, monitors the network public opinions, and makes corresponding processing modes aiming at different public opinions to avoid the harm of the network public opinions to the society; by collecting hot topics and correct comment opinions at any time, updating the topic database and the comment opinion database, maintaining the latest state of the databases at any time, preprocessing network public opinions, and only introducing useful information, the workload of a monitoring program can be reduced, and the processing efficiency is improved; by arranging the network utterance guiding system, negative and negative viewpoints on the network are correctly guided, so that the obverse of network public sentiment is maintained, and positive influence is generated on the society.
In order to achieve the purpose, the invention adopts the following technical scheme:
an online public opinion monitoring method comprises the following steps:
s1, establishing a network public opinion keyword database, establishing a topic keyword database and a comment viewpoint database, adopting a crawler system to search hot topics in each news webpage, APP, blog, bar and community, storing the keywords and hot search words related to the keywords into the keyword database, supplementing the keyword database all the time, enabling the keyword database to be updated online all the time, and keeping the latest state of the database;
s2, collecting information of network public sentiment topics, collecting popular network discussion topics by using a crawler system, classifying and summarizing the discussion topics, such as news, forums, blogs and search engines, and preprocessing the collected information;
s3, extracting keywords of the information of the network public sentiment topics, comparing and analyzing the keywords with a database, extracting keywords of the acquired network topics, performing text analysis on popular network discussion topics, extracting keywords, words and the like which can represent the characteristics and properties of the topics most, and comparing and analyzing the extracted keywords and words with the established keyword database, wherein the analysis mode adopts a lexical analysis mode of ICTCCLAS;
s4, collecting and screening and classifying the comment information of the network public sentiment, collecting the comment information of the popular network discussion topics, extracting the keywords of which the comment information can represent personal opinions most, comparing and judging the extracted comment keywords with a comment opinion database so as to screen and classify various comment information, and analyzing and judging the development trend of the network public sentiment;
s5, tracking rumor, terror and other words endangering social security, informing relevant workers to pay attention to the rumor, terror and other words endangering social security in the topic information and comment information, tracking and surveying the rumor, terror and other words informatiology endangering social security, and sending the survey result to the relevant workers for processing.
Preferably, in step S2, the collected information preprocessing includes performing hyperlink analysis on the network connection of the topic information, performing anchor text processing, performing encoding and recognition on the classified and summarized information, filtering spam information, and removing URLs.
Preferably, in step S3, unmatched keywords are screened from the extracted keywords, AI analysis is performed, and correct keywords are updated to the topic keyword database.
Preferably, in step S4, for negative and negative comments and views, a corresponding network speech guidance system is established to provide positive and positive objective facts to guide the social correct value and public opinion directions.
Preferably, the network utterance guidance system includes an utterance guidance module, the utterance guidance module is electrically connected to a positive objective fact extraction module and a positive and positive opinion extraction module, the positive objective fact extraction module is electrically connected to a positive objective fact database, and the positive and positive opinion extraction module is electrically connected to a positive and positive opinion database.
Preferably, the utterance guidance module is electrically connected to an analysis and comparison module, the analysis and comparison module is electrically connected to a comment opinion keyword extraction module, the comment opinion keyword extraction module is electrically connected to a negative and negative comment opinion introduction module, and the negative and negative comment opinion introduction module is electrically connected to a comment opinion analysis module.
Preferably, the review opinion analysis module is electrically connected to a positive review opinion filtering module, and the positive review opinion filtering module is electrically connected to the positive review opinion database.
The invention has the following beneficial effects:
1. by establishing a topic database and a comment and opinion database, popular public opinions and public comment and opinions are collected at any time, popular events in time can be classified, screened and analyzed, public opinion trends are judged, and seriously-damaged social security opinions are effectively processed, so that network public opinions are monitored, corresponding processing modes are made for different public opinions, and the harm of the network public opinions to the society is avoided;
2. by collecting hot topics and correct comment opinions at any time, updating the topic database and the comment opinion database, maintaining the latest state of the databases at any time, preprocessing network public opinions, and only introducing useful information, the workload of a monitoring program can be reduced, and the processing efficiency is improved;
3. by arranging the network utterance guiding system, negative and negative viewpoints on the network are correctly guided, so that the obverse of network public sentiment is maintained, and positive influence is generated on the society.
Drawings
Fig. 1 is a flow chart of a method for monitoring internet public sentiment according to the present invention;
fig. 2 is a block diagram of a network speech guidance system in the network public opinion monitoring method 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.
An online public opinion monitoring method comprises the following steps:
s1, establishing a network public opinion keyword database, establishing a topic keyword database and a comment viewpoint database, adopting a crawler system to search hot topics in each news webpage, APP, blog, bar and community, storing the keywords and hot search words related to the keywords into the keyword database, supplementing the keyword database all the time, enabling the keyword database to be updated online all the time, and keeping the latest state of the database;
s2, collecting information of network public sentiment topics, collecting popular network discussion topics by using a crawler system, classifying and summarizing the discussion topics, such as news, forums, blogs and search engines, and preprocessing collected information, wherein the preprocessing collected information comprises performing hyperlink analysis on network connection of the topic information, performing anchor text processing, coding and identifying classified and summarized information, filtering junk information and removing duplicate URLs;
s3, extracting keywords of network public opinion topic information, comparing the keywords with a database, extracting keywords of the acquired network topics, performing text analysis on popular network discussion topics, extracting keywords, words and the like which can represent the characteristics and properties of the topics most, and simultaneously performing comparison analysis on the extracted keywords, words and the established keyword database, wherein the analysis mode adopts a morphology analysis mode of ICT CLAS, and selects unmatched keywords from the extracted keywords and performs AI analysis, and the correct keywords are supplemented and updated to the topic keyword database;
s4, collecting and screening and classifying the comment information of the online public opinion, collecting the comment information of the popular online discussion topics, extracting the keywords of which the comment information can represent personal opinions most, comparing and judging the extracted comment keywords with a comment opinion database to screen and classify various comment information, and analyzing and judging the development trend of the online public opinion, wherein for negative and negative comments and opinions, a corresponding network utterance guiding system is established to provide positive and positive objective facts to guide the society to correct value and public opinion directions;
the network utterance guiding system comprises an utterance guiding module, wherein the utterance guiding module is electrically connected with a positive objective fact extraction module and a correct and positive opinion extraction module, the positive objective fact extraction module is electrically connected with a positive objective fact database, the correct and positive opinion extraction module is electrically connected with a correct and positive opinion database, the utterance guiding module is electrically connected with an analysis and comparison module, the analysis and comparison module is electrically connected with a comment opinion keyword extraction module, the comment opinion keyword extraction module is electrically connected with a negative comment negative opinion importing module, the negative comment opinion importing module is electrically connected with a comment opinion analysis module, the comment opinion analysis module is electrically connected with a positive and positive comment opinion filtering module, and the positive and positive comment opinion filtering module is electrically connected with the positive and positive opinion database.
It should be noted that the utterance guidance module is used for guiding negative and negative speeches to correct and positive public opinion directions, the utterance guidance module comprises a positive objective fact extraction module and a correct and positive opinion extraction module, the positive objective fact extraction module is used for extracting positive objective facts, the correct and positive opinion extraction module is used for extracting correct and positive opinions, the positive objective fact database is used for storing the positive objective facts, the correct and positive opinion database is used for storing the correct and positive opinions, the comment opinion analysis module is used for analyzing the comment opinions into positive and positive comment opinions or negative and negative comment opinions, the negative and negative comment opinion importing module is used for importing the opinions of negative and negative comments, and the comment opinion keyword extraction module is used for extracting keywords in the negative and negative comment opinions and analyzing the keywords by the analysis and comparison module.
S5, tracking rumor, terror and other words endangering social security, informing relevant workers to pay attention to the rumor, terror and other words endangering social security in the topic information and comment information, tracking and surveying the rumor, terror and other words informatiology endangering social security, and sending the survey result to the relevant workers for processing.
By classifying, screening and analyzing the popular events under the time setting, judging the tendency of public opinions and effectively processing the seriously damaged public security opinions, the invention not only monitors the network public opinions, but also makes corresponding processing modes aiming at different public opinions, thereby avoiding the network public opinions from causing the society; by collecting hot topics and correct comment opinions at any time, updating the topic database and the comment opinion database, maintaining the latest state of the databases at any time, preprocessing network public opinions, and only introducing useful information, the workload of a monitoring program can be reduced, and the processing efficiency is improved; by arranging the network utterance guiding system, negative and negative viewpoints on the network are correctly guided, so that the obverse of network public sentiment is maintained, and positive influence is generated on the society.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. An online public opinion monitoring method is characterized by comprising the following steps:
s1, establishing a network public opinion keyword database, establishing a topic keyword database and a comment viewpoint database, adopting a crawler system to search hot topics in each news webpage, APP, blog, bar and community, storing the keywords and hot search words related to the keywords into the keyword database, supplementing the keyword database all the time, enabling the keyword database to be updated online all the time, and keeping the latest state of the database;
s2, collecting information of network public sentiment topics, collecting popular network discussion topics by using a crawler system, classifying and summarizing the discussion topics, such as news, forums, blogs and search engines, and preprocessing the collected information;
s3, extracting keywords of the information of the network public sentiment topics, comparing and analyzing the keywords with a database, extracting keywords of the acquired network topics, performing text analysis on popular network discussion topics, extracting keywords, words and the like which can represent the characteristics and properties of the topics most, and comparing and analyzing the extracted keywords and words with the established keyword database, wherein the analysis mode adopts a lexical analysis mode of ICTCCLAS;
s4, collecting and screening and classifying the comment information of the network public sentiment, collecting the comment information of the popular network discussion topics, extracting the keywords of which the comment information can represent personal opinions most, comparing and judging the extracted comment keywords with a comment opinion database so as to screen and classify various comment information, and analyzing and judging the development trend of the network public sentiment;
s5, tracking rumor, terror and other words endangering social security, informing relevant workers to pay attention to the rumor, terror and other words endangering social security in the topic information and comment information, tracking and surveying the rumor, terror and other words informatiology endangering social security, and sending the survey result to the relevant workers for processing.
2. The method as claimed in claim 1, wherein in the step S2, the collected information preprocessing includes performing hyperlink analysis on the network connection of the topic information, performing anchor text processing, performing code recognition on the classified and summarized information, filtering spam information, and removing URL duplication.
3. The method for monitoring internet public sentiment according to claim 1, wherein in the step S3, unmatched keywords are screened from the extracted keywords, AI analysis is performed, and correct keywords are updated to the topic keyword database.
4. The method as claimed in claim 1, wherein in step S4, a corresponding network speech guidance system is established for negative and negative comments and opinions, and positive objective facts are provided to guide the society to correct value and public opinion directions.
5. The method as claimed in claim 4, wherein the network opinion monitoring system includes an opinion guiding module, the opinion guiding module is electrically connected to a positive objective fact extraction module and a positive and positive opinion extraction module, the positive objective fact extraction module is electrically connected to a positive objective fact database, and the positive and positive opinion extraction module is electrically connected to a positive and positive opinion database.
6. The method of claim 5, wherein the utterance guidance module is electrically connected to an analysis comparison module, the analysis comparison module is electrically connected to a comment opinion keyword extraction module, the comment opinion keyword extraction module is electrically connected to a negative comment opinion import module, and the negative comment opinion import module is electrically connected to a comment opinion analysis module.
7. The method as claimed in claim 6, wherein the review opinion analysis module is electrically connected to a positive review opinion filtering module, and the positive review opinion filtering module is electrically connected to a positive review opinion database.
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| CN112966500A (en) * | 2021-02-15 | 2021-06-15 | 珠海市鸿瑞信息技术股份有限公司 | Network data chain safety monitoring platform based on artificial intelligence configuration |
| CN113609403A (en) * | 2021-06-21 | 2021-11-05 | 河南工学院 | Internet public opinion information acquisition method |
| CN114187126A (en) * | 2021-11-08 | 2022-03-15 | 杭州萝卜智能技术有限公司 | Network public opinion management and control system based on data analysis |
| CN115834131A (en) * | 2022-10-24 | 2023-03-21 | 石河子大学 | Block chain-based Internet public opinion event monitoring method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112966500A (en) * | 2021-02-15 | 2021-06-15 | 珠海市鸿瑞信息技术股份有限公司 | Network data chain safety monitoring platform based on artificial intelligence configuration |
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| CN114187126A (en) * | 2021-11-08 | 2022-03-15 | 杭州萝卜智能技术有限公司 | Network public opinion management and control system based on data analysis |
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Application publication date: 20200619 |