Latent Dirichlet allocation

Latent Dirichlet Allocation (LDA) is a way to help you understand what topics are in a large collection of documents. It takes all of the words in the documents and helps you identify which groups of words appear together most often. These groups of words form topics. For example, if you had a collection of websites about cars, LDA might find topics like "gasoline engines", "electric cars", and "hybrid cars". This makes it easier to find information about a specific topic.