Latent Dirichlet Allocation is an example of a topic model and belongs to the machine learning field and in a wider sense to the artificial intelligence field. The latent Dirichlet allocation (LDA) is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. For example, if observations are words collected into documents, it posits that each document is a mixture of a small number of topics and that each word's presence is attributable to one of the document's topics.

Latent Dirichlet Allocation

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Latent Dirichlet Allocation

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