scientist-labs/topical
Ruby library for fast, flexible topic modeling — built on modern embeddings and clustering techniques to uncover themes in text.
This helps analysts and researchers quickly understand the main themes in large collections of text, like news articles, customer feedback, or scientific papers. You input a list of documents, and it outputs a summary of the distinct topics found, including key terms for each topic and examples of relevant documents. This is for anyone who needs to make sense of unstructured text data without manually reading every piece.
Use this if you need to automatically identify the core subjects or trends within a body of text and categorize documents accordingly.
Not ideal if you already know the exact categories you're looking for and just need to assign documents to them, or if you only have a handful of very short texts.
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Language
Ruby
License
MIT
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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