Work

Web Emotion Recognition for College Students Based on Microblog Text Mining

Year: 2023
Type: conference-paper
Abstract: The new crown pneumonia epidemic is characterized by its suddenness, urgency, and danger, and the prolonged closed management and prevention and control measures are very likely to trigger strong emotional reactions from college students. In this paper, the microblogging texts of college students during the closed management period from October 28 to November 11, 2022 were used as the research object. After using text sentiment analysis and semantic network analysis techniques, we found that the comment contents of Sina Weibo student users were basically dominated by positive emotion expressions, and a few comments had negative emotions such as fear, worry and anxiety. Based on this, universities need to pay more attention to the physical and mental health of college students, respond to reasonable demands, pacify bad emotions, dominate the network space with mainstream public opinion, mainstream culture and mainstream values, and abate the influence of negative network opinions.
Author: Yan Wang
Language: English
Open Access status: bronze
OpenAlex ID: W4389780930
FWCI: 0.111
Cites:
Cited by: 1
Related to: 10