lunarwhite/covid-social-analysis
Apply ML on weibo sentiment. 疫情背景下微博文本情感分析与可视化
This project helps social scientists and public health researchers analyze public sentiment on Weibo during the COVID-19 pandemic. By taking raw Weibo posts and comments as input, it processes the text and generates visualizations and reports on public emotion, popular topics, and sentiment clustering. Researchers can use this to understand public opinion and attention related to health crises.
Use this if you are a social scientist or public health researcher needing to understand public sentiment and discussion patterns on Chinese social media (Weibo) during the COVID-19 pandemic.
Not ideal if you need to analyze real-time social media data, data from platforms other than Weibo, or perform sentiment analysis on topics outside of public health crises.
Stars
46
Forks
5
Language
HTML
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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