primaryobjects/lda
LDA topic modeling for node.js
Implements probabilistic topic extraction with configurable stop-word filtering across multiple languages (English, German, etc.) and deterministic output via random seed control. Returns ranked term-probability pairs for each detected topic, enabling multi-label document classification where terms are weighted by their relevance to inferred topics. Built as a pure JavaScript implementation without external ML dependencies, making it suitable for lightweight server-side text analysis pipelines in Node.js applications.
297 stars and 1,158 monthly downloads. No commits in the last 6 months. Available on npm.
Stars
297
Forks
47
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Aug 20, 2024
Monthly downloads
1,158
Commits (30d)
0
Dependencies
1
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