Latent Dirichlet allocation - Wikipedia, the free encyclopedia
In natural language processing, latent Dirichlet allocation (LDA) is a generative 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 colle...