Design And Implementation Of Public Opinion Supervision System Based On Big Data

In recent years,due to the high concentration of public opinion information on the Internet,frequent campus crimes and relying on the characteristics of the Internet have led to the rapid spread of public opinion information on these educational networks.Certain speeches and opinions are not conducive to the physical and mental development of young people.The traditional public opinion supervision system has great limitations.There are many problems in the acquisition of monitoring sources,the judgment of complex public opinion tendency,and the automatic monitoring of high quality public opinion.Therefore,this paper proposes to use the big data technology to realize the linkage and visualization of the public opinion supervision system,and to perform the big data classification and processing operations on the public opinion data,so as to achieve the purpose of strengthening the supervision of the education network public opinion.Based on this,this thesis takes the public opinion supervision system based on big data as the research object,and discusses the common problems that are found in the process of education public opinion supervision in the field of education,and constructs the system organization structure based on the current research background at home and abroad.The system is supported by big data technology,cooperates with Visual Studio development platform,SQL Server database technology and C#development language,etc.And uses these software engineering development technologies to provide technical support for the system.Secondly,the topic detection and tracking technology and text collection The class algorithm performs effective processing,hotspot analysis and topic tracking on the public opinion data to further determine the functional modules of the system,including six functional modules including topic tracking and data information generation.These functional modules are independent and integrated with each other.Through the Visual Studio development platform,the Internet public opinion supervision in the education field has been pushed to a new management level,both for the supervision of data standards and for the collection and tracking of information data.Improvement.Under this new management mode,the negative public opinion information is effectively processed,and the safe development of network information work in the education field is guaranteed.Through the realization of the system,users can more easily obtain sensation information,understand the sensation trend,and also more intuitively understand people's emotional attitude towards lyric information.For the education field,by analyzing the trend of lyrics,changing the way of education and creating a pure land for the youth education environment,the innovation of this system is to use the detection and tracking technology of the topic to further determine hot topic and provide more intuitive Way of presentation.Secondly,using the K-Means clustering algorithm in big data,it can effectively distinguish different lyric data information and dig out the hotspot value in each type of information.In short,it is the potential feature of accurate lyric data information.