ConceptTopic Model
Topic Model
A class of probabilistic generative models used to model the latent semantic structure of a collection of documents. The most classic representative is LDA, which assumes that each document is a mixture of several latent topics.
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Oct 16
A topic model is a class of probabilistic generative models used to model the latent semantic structure of a document collection; the most classic representative is LDA (Latent Dirichlet Allocation), whose core assumption is that each document is a mixture of several latent topics, with each topic corresponding to a probability distribution over the vocabulary.
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