LDA.js
This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.
About LDA.js
LDA.js is a Node.js library that implements Latent Dirichlet Allocation to extract topics and related keywords from a collection of documents. The caller provides documents as an array and specifies the number of topics and terms per topic to return.
It returns topics as arrays of term and probability objects, filters common words using stop-words lists, and supports language selection and a fixed random seed for repeatable output.
Key features
- Extracts topics and related keywords from document collections
- Returns topics as arrays of term and probability objects
- Lets users specify number of topics and terms
- Filters common terms using English stop-words by default
- Supports other stop-words lists via language ID arrays
- Allows fixed random seed for repeatable results
Best for: Node.js developers who need to add topic modeling to JavaScript text processing.
Good for
- Installs via npm and runs with a single function call
- Includes support for multiple stop-words languages and custom lists
- Offers a random seed option for consistent output across runs
LDA.js at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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LDA.js FAQ
What format does LDA.js output?
It returns an array of topics, each containing an array of objects with term and probability fields.
How do I use stop-words for another language?
Pass an array of language IDs, such as ['de'] or ['en', 'de']. Custom lists can be added as lib/stopwords_XX.js files following the existing format.
How can I get the same results on repeated runs?
Specify a random seed in the function call, for example lda(documents, 2, 5, null, null, null, 123).
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