Design and Implementation of Public Opinion System in Colleges

Abstract

With the development of the network, the campus network has become the main method of information dissemination between college teachers and students. Therefore, the public opinion of colleges and universities has rapidly developed. Teachers and students of major universities use the public opinion system to obtain the required information and express their various opinions, but there are also some negative public opinions, which will have a negative impact on the ideology of college students. Therefore, an applicable university public opinion system becomes increasingly important.Based on this, on the basis of querying a large amount of data, through demand analysis and detailed design, the university public opinion system based on Java Web was finally realized. Based on the tens of thousands of college public opinion data crawled from Weibo through the Python crawler written by myself, it has realized the monitoring and data analysis visualization of multiple dimensions of college public opinion, including heat analysis, source analysis, public opinion search, and search term recommendation etc. In order to meet the needs of college public opinion managers, the system implements modules such as user management, role management, menu management, department management, and public opinion display. On the basis of comparing various prediction methods of university public opinion and comprehensively considering the general trend of university public opinion development, a Markov prediction model is introduced to predict the popularity trend of university public opinion. Finally, after testing, the system can run successfully and normally. It is hoped that the college public opinion system will enable relevant departments to understand the public opinion dynamics in real time, correctly guide the direction of public opinion, promptly correct errors and negative public opinion content, and better promote the stable development of the school.