nur-ag/emotion-classification
Repository for "Uncovering the Limits of Text-based Emotion Detection", — Findings of EMNLP, 2021
This project helps researchers and data scientists analyze emotions expressed in text. You provide text content (like social media posts or customer reviews) and it identifies and scores various emotions within that text. It's designed for natural language processing researchers, social scientists, or anyone studying sentiment and emotional patterns in large text datasets.
No commits in the last 6 months.
Use this if you need to systematically detect and categorize fine-grained emotions from text data, especially for research or advanced analytical purposes.
Not ideal if you're looking for a simple, out-of-the-box sentiment analysis tool for business applications without any coding or research setup.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 11, 2021
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