MilaNLProc/xlm-emo
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).
This tool helps social and computational scientists understand how people emotionally react to online events by automatically detecting emotions in social media text. You provide text posts in 19 different languages, and it tells you the specific emotion expressed in each post. The ideal user is a researcher or analyst studying public sentiment and emotional trends across different cultures and languages.
No commits in the last 6 months.
Use this if you need to quickly and accurately identify emotions in social media content written in multiple languages, especially for languages where emotion detection tools are scarce.
Not ideal if your primary need is for in-depth sentiment analysis beyond basic emotions or if you are analyzing highly technical or domain-specific text rather than social media.
Stars
8
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2023
Commits (30d)
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