July 2017
Beginner to intermediate
312 pages
7h 27m
English
LDA is a generative probabilistic model of a corpus. The fundamental idea is that documents are a mixture of random latent topics, where a topic is characterized by a distribution over words.
The generative process of LDA can be illustrated as follows:


To simplify, the algorithm assumes a Poisson and Dirichlet distribution on the model and then constitutes the members of each cluster by maximizing the probability of a new word being in the cluster given the current members.
The Dirichlet equation, where a k-dimensional ...
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