simple-lda

Latent Dirichlet allocation (LDA) is a topic model that generates topics based on word frequency from a set of documents. LDA is particularly useful for finding reasonably accurate mixtures of topics within a given document set.

Installation

The library is available on PyPI:

    pip install simple-lda

Sources

• Edwin Chen Introduction to latent Dirichlet Allocation
• Jordan Barder LDA with Python walkthrough
• Gensim library for lda based on M Hoffman's paper
• Snowball for Porter stemming algorithm
• Bird, Steven, Edward Loper and Ewan Klein (2009), Natural Language Processing with Python. O’Reilly Media Inc