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Hulu Beijing
Hulu Beijing
Jan 11, 2018 · Artificial Intelligence

Topic Modeling Explained: pLSA, LDA, and How to Pick the Right Number of Topics

This article introduces the fundamentals of topic modeling, compares the probabilistic latent semantic analysis (pLSA) and latent Dirichlet allocation (LDA) methods, explains their graphical models and inference via EM or Gibbs sampling, and discusses practical strategies for selecting the optimal number of topics using perplexity or hierarchical Dirichlet processes.

LDAmachine learningpLSA
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Topic Modeling Explained: pLSA, LDA, and How to Pick the Right Number of Topics