LDA (Latent Dirichlet Allocation)
Latent Dirichlet Allocation (LDA) is a generative statistical model used in natural language processing to discover abstract 'topics' within a collection of documents.
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Discovering latent topics in text documents
Classifying documents based on topic distribution
Analyzing large text corpora to identify themes