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University network public opinion monitoring and early warning method and system

A network public opinion, monitoring and early warning technology, applied in the field of data processing, can solve the problems of not getting early warning, monitoring, and missing public opinion disposal opportunities for negative events, and achieve the effect of preventing the outbreak of negative events, with strong pertinence and outstanding effect.

Pending Publication Date: 2019-08-30
HUBEI UNIV OF ECONOMICS +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current public opinion monitoring and early warning system is mostly oriented to social media and social networking sites to monitor and form early warning strategies, but it does not specifically monitor the official microblogs, student microblogs, Qzone, etc. in colleges and universities, resulting in many negative events not being received during the brewing stage of the school. Early warning, it is too late when it is exposed on social media, and the best opportunity to deal with public opinion is missed

Method used

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  • University network public opinion monitoring and early warning method and system
  • University network public opinion monitoring and early warning method and system
  • University network public opinion monitoring and early warning method and system

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Experimental program
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Embodiment 1

[0036] like figure 1 As shown, the present invention provides a method for monitoring and early warning of network public opinion in colleges and universities, including:

[0037] Step 1. Obtain the data required for public opinion monitoring in colleges and universities through crawlers;

[0038] Step 2, use the neural network to make positive and negative judgments on the collected data, and carry out real-time early warning and monitoring of public opinion.

[0039] The data required for public opinion monitoring in colleges and universities include: student microblog data, wechat data, forum data, and news media data; different crawler processing is carried out for the four major data sources of student microblog, wechat, forum, and news media, and respective crawlers are designed. Different data acquisition frameworks.

[0040] like figure 2 As shown, for student microblog data, the data collection framework builds a cookie pool for safe collection, and the scrapy fra...

Embodiment 2

[0053] The present invention also provides a network public opinion monitoring and early warning system in colleges and universities, such as Figure 5 shown, including:

[0054] The data acquisition module obtains the data required for public opinion monitoring in colleges and universities through crawlers;

[0055] The early warning and monitoring module uses the neural network to make positive and negative judgments on the collected data, and conducts real-time public opinion early warning and monitoring.

[0056] Further, the data required for public opinion monitoring in colleges and universities include: student microblog data, wechat data, forum data, and news media data; different crawler processing is carried out for the four major data sources of student microblog, wechat, forum, and news media, Different data collection frameworks are designed.

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Abstract

The invention relates to a university network public opinion monitoring and early warning method and system. The method comprises the steps of firstly, obtaining the data needed by university public opinion monitoring through crawlers; and performing the positive and negative judgment on the collected data by using a neural network, and performing the real-time public opinion early warning monitoring. By crawling and cleaning the student data, such as microblog data, WeChat data, forum data, news media data, etc., by utilizing a web crawler technology, using an emotion calculation algorithm indeep learning for processing the acquired student data, and taking the school internal data as a main part and the social media information as an auxiliary part, a text mining technology is comprehensively applied for analyzing the ideological dynamics and negative emotions of the students, so that the negative events are prevented from outbreak, the pertinence is higher, and the effect is more prominent.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for monitoring and early warning of network public opinion in colleges and universities. Background technique [0002] The network public opinion monitoring and early warning system can collect network information in a certain social space to carry out early warning and monitoring of the development and changes of events that have occurred, so that managers are familiar with the attitudes and wishes expressed by the masses on the Internet, so as to formulate corresponding measures. Response policies and correct management measures. With the rapid development of the Internet, colleges and universities are more and more concerned by social media. The maintenance of the image of colleges and universities is very important. How to find out the early warning information of college students' ideological dynamics in colleges and universities and the negative ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/20G06F16/951G06F16/953G06N3/04G06N3/08
CPCG06Q10/04G06Q50/205G06F16/951G06F16/953G06N3/08G06N3/045
Inventor 张耀峰朱艳敏程威张浩浩谢松俊陈丹
Owner HUBEI UNIV OF ECONOMICS