Research on Public Opinion Monitoring and Decision-Making of College Students' Social Network Under Human-Machine Collaboration

Social network public opinion has a significant impact on the values of college students, and at the same time brings great challenges to the governance of campus public opinion. Traditional public opinion processing has the problems of poor timeliness and low analysis accuracy. Based on the perspective of man-machine collaboration. The data analysis method is used to analyze the effect of human-machine collaborative mode processing in the network public opinion, and the applicability and limitations of the existing methods are discussed. The experimental results show that the monitoring and decision-making of public opinion on social network under the man-machine collaboration mode can effectively reduce the diffusion of negative public opinion, and provide reference for decision-making of online public opinion governance in universities.