MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
This tool helps researchers, analysts, and content strategists analyze large collections of text documents to discover underlying themes. You provide raw text data, and it outputs a comparison of different topic models, showing which themes are present and how strongly. This is ideal for anyone needing to understand the main subjects or trends within textual information, like customer feedback, news articles, or academic papers.
799 stars and 1,106 monthly downloads. Used by 1 other package. Available on PyPI.
Use this if you need to objectively compare and fine-tune various topic modeling approaches to get the best possible understanding of themes in your text data.
Not ideal if you are looking for simple keyword extraction or don't need to evaluate multiple topic models rigorously.
Stars
799
Forks
119
Language
Python
License
MIT
Category
Last pushed
Feb 20, 2026
Monthly downloads
1,106
Commits (30d)
0
Dependencies
15
Reverse dependents
1
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