Evolution of Public Opinion on COVID-19 Based on Microblog Visualization

ABSTRACT

In January 2020, the outbreak of COVID in China attracted widespread attention and discussion on social media. Evolution of public opinion can help us understand users' hot topics and the evolution rule among these topics. Therefore, a public opinion evolution model based on microblog data is proposed in this paper. Firstly, a web crawler is used to obtain microblog data. Then the idea of sentiment analysis and topic extraction in order is used to analyze, and divide the stages through the emotional conflict evolution diagram. Finally, fine-grained emotion visualization is carried out for the hot topics in each stage, the evolution rule of public opinion on COVID-19 is summarized, and the effectiveness and scientificity of the method are also verified. © 2022 ACM.