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What is Correlated Topic Model Overview about?

This document summarizes the correlated topic model, which is an extension of the latent Dirichlet allocation (LDA) model. The correlated topic model draws topic mixtures from a logistic normal distribution rather than a Dirichlet distribution, allowing for richer correlations between topics. The document outlines the generative process and graphical model of the correlated topic model. It also describes how to perform supervised training when topic assignments are observed, including using expectation-maxi

Author

Parag

Language

EN