simple-lda 0.1.1

Python library for Latent Dirichlet allocation (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.

Some source for more documentation:

• 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