Polya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler

12 Apr 2017Alexander TereninMåns MagnussonLeif JonssonDavid Draper

Latent Dirichlet Allocation (LDA) is a topic model widely used in natural language processing and machine learning. Most approaches to training the model rely on iterative algorithms, which makes it difficult to run LDA on big corpora that are best analyzed in parallel and distributed computational environments... (read more)

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