cardiffnlp/tweetnlp
TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter.
This project helps social media analysts and marketers understand public conversations on Twitter. It takes raw tweet text and identifies key aspects like the sentiment (positive, negative, neutral), the topics discussed, or even predicts relevant emojis. Social media managers, brand strategists, and researchers can use this to quickly gain insights from large volumes of tweets.
382 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to extract structured insights from Twitter data, such as understanding public sentiment about a product or identifying trending discussion topics.
Not ideal if your primary data source is not Twitter or social media, or if you require extremely nuanced, domain-specific text analysis beyond general social media use cases.
Stars
382
Forks
36
Language
Python
License
MIT
Category
Last pushed
Apr 02, 2025
Commits (30d)
0
Dependencies
9
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