Explain latent dirichlet allocation – where is it typically used ?

Latent Dirichlet Allocation(LDA) is a probabilistic model that models a document as a multinomial mixture of topics and the topics as a multinomial mixture of words. Each of these multinomials have a dirichlet prior. The goal is to learn these multinomial proportions using probabilistic inference techniques based on the observed data which is the words/content…