bobxwu/TopMost

A Topic Modeling System Toolkit (ACL 2024 Demo)

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Established

This system helps you understand the main subjects or themes within large collections of text documents, such as news articles, research papers, or customer reviews. You input your collection of documents, and it outputs a list of topics with their most representative words, along with which topics are present in each document. This is ideal for researchers, data analysts, or anyone needing to distill insights from extensive textual data.

286 stars. No commits in the last 6 months. Available on PyPI.

Use this if you need to automatically identify and categorize the core themes or subjects across a large body of text, like survey responses, academic literature, or product descriptions.

Not ideal if your primary goal is to perform sentiment analysis, named entity recognition, or highly granular text classification rather than broad topic discovery.

text-analysis research-summarization document-categorization content-analysis information-extraction
Stale 6m
Maintenance 2 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 15 / 25

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Stars

286

Forks

26

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Oct 14, 2025

Commits (30d)

0

Dependencies

8

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