piskvorky/gensim
Topic Modelling for Humans
This tool helps you understand the main subjects or 'topics' within a large collection of text documents. It takes raw text inputs like articles, grants, or legal documents and identifies recurring themes, making it easier to index them or find similar documents. It's designed for natural language processing specialists, researchers, or anyone managing extensive text data.
16,375 stars.
Use this if you need to automatically discover topics in a massive archive of documents, identify related texts, or build recommendation engines without having to read everything manually.
Not ideal if you're looking for a simple, out-of-the-box application for everyday document management without any programming.
Stars
16,375
Forks
4,410
Language
Python
License
LGPL-2.1
Category
Last pushed
Nov 01, 2025
Commits (30d)
0
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