centre-for-humanities-computing/tweetopic
Blazing fast topic modelling for short texts.
This tool helps researchers, social media analysts, and marketers quickly understand the main themes within large collections of short texts like tweets, customer reviews, or survey responses. You provide a dataset of many short messages, and it identifies groups of similar texts and the key words that define each group. It's designed for anyone needing to identify trends or common topics from vast amounts of brief online conversations or feedback.
Use this if you need to rapidly discover the underlying themes and recurring subjects within a large corpus of short, unstructured text data.
Not ideal if your primary goal is sentiment analysis, named entity recognition, or working with very long-form documents like articles or books.
Stars
36
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jan 05, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/centre-for-humanities-computing/tweetopic"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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