Emotional Analysis on the Public Sentiment of Students Returning to University under COVID-19

Abstract

As an enormous epidemic for the global, COVID-19, has become a major threat to the mankind thus influence economy, living activities, especial eduction. The public sentiment has been produced in the internet. In this paper, public emotional sentiment about returning to the university is crawled from the weibo and studied. By analyzing the reviews, the students' emotional analysis is studied by snowNLP-based method and TF-IDF-based method. Numerical experiments and visualization results indicate that the students have positive emotion for returning to the university.