A Study on the Characteristics of College Students' Negative Emotion and the Strategy of Dredging from the Perspective of Large Data

Abstract

The extreme social events caused by the negative emotions of college students have been widely concerned by the community and have become an important topic of concern to researchers. This article based on the "Baidu public opinion", "Ali public event analysis", "Sina public opinion" and other commercial large data platform, and then the basic characteristics of the audience and college students negative emotional timing changes were analyzed by using the machine learning and data mining tools, the reasons for the negative emotions of college students were analyzed by using the questionnaire. The research found that the negative emotions of college students are influenced by social public opinion, study pressure and employment pressure. On these grounds, we put forward the dredge strategy, what is used by "opinion leaders" to guide public opinion, improve the psychological ability and improve the physical and mental health of college students.