Tag: Topic Model
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Latent Dirichlet Allocation (LDA): Topic Models
Latent Dirichlet allocation (LDA) is an unsupervised learning topic model, similar to k-means clustering, and one of its applications is to discover common themes, or topics, that might occur across a collection of documents. In a nutshell, the distribution of words characterizes a topic, and these latent, or undiscovered topics are represented as random mixtures…