Research on the Early Warning of College Online Public Opinion under the Big Data Environment

Abstract

College online public opinion which is based on social public opinion is a kind of self-expression of college students on some hot issues in the current campus and in the society. The college students through it expressing their opinions by giving vent to their feelings. However, according to the current situation, due to the anomie of college students' online public opinion and the proliferation of false public opinions in the network, as well as the absence of public opinion warning and network guidance. This leads to the problem of college online public opinion increasingly serious. The early warning research of college online public opinion has also been paid more and more attention by the academic circle. Based on the analysis of the current situation of college online public opinion, this paper analyzes and designs three functional modules of early warning of college online public opinion: collection, analysis and early warning. At the same time, the organization system of online and offline is put forward to guarantee the efficient operation of college online public opinion warning mechanism.