Qinzixin/covid-19-weibo-text-analysis
Sentiment classification for Weibo text data (Chinese) during COVID 19
This project helps you understand public sentiment expressed in Chinese Weibo posts related to COVID-19. You input raw Weibo text data, and it outputs a classification of the sentiment (e.g., positive, negative, neutral) within those posts. This is useful for researchers, public health officials, or anyone monitoring public opinion in China during the pandemic.
No commits in the last 6 months.
Use this if you need to quickly assess the emotional tone of a large collection of Chinese social media discussions about COVID-19.
Not ideal if you are looking for sentiment analysis on platforms other than Weibo, or for topics unrelated to COVID-19.
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Language
Python
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Last pushed
Oct 28, 2021
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Qinzixin/covid-19-weibo-text-analysis"
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