msft-vivi/SMP2020---Weibo-sentiment-classification

SMP 2020年微博情感分类评测任务 第六名解决方案

36
/ 100
Emerging

This solution helps social media analysts and brand managers understand public sentiment on Chinese microblogging platforms like Weibo. It takes raw Chinese microblog posts as input and outputs a classification of their sentiment (e.g., positive, negative, neutral), allowing users to gauge public opinion or track brand perception. It is designed for professionals monitoring social media trends or conducting market research in the Chinese-speaking world.

No commits in the last 6 months.

Use this if you need to automatically categorize the emotional tone of a large volume of Chinese social media text, especially from Weibo.

Not ideal if your primary need is for real-time, streaming sentiment analysis or if your data is in a language other than Chinese.

social-media-monitoring public-opinion-analysis brand-reputation Chinese-language-processing market-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 19 / 25

How are scores calculated?

Stars

70

Forks

20

Language

Python

License

Last pushed

Aug 18, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/msft-vivi/SMP2020---Weibo-sentiment-classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.