AnFreTh/STREAM
ACL Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.
This tool helps researchers, analysts, and social scientists understand vast amounts of text data by automatically identifying key themes. You provide it with a collection of documents, and it outputs a set of topics, each with associated keywords, along with visualizations to help you explore and interpret these topics. It's designed for anyone needing to distill insights from large text datasets without manual review.
Use this if you need to quickly uncover the main subjects, trends, or conversations hidden within large volumes of documents, like news articles, social media posts, or research papers.
Not ideal if your dataset is very small, or if you need to extract specific named entities or highly granular factual information rather than general themes.
Stars
42
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jan 17, 2026
Commits (30d)
0
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