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. It's actually a three level Bayesian model from words to themes to documents. Generally speaking, we consider a word in a document is selected by selecting a theme for this position first and selecting a word for the theme after that.