LDA is one of the common topics in machine learning interview questions on unsupervised learning. LDA is a general method for topic modeling as well as classification of documents according to the subject matter. It is a generative model providing representation for documents as a combination of topics with its own probability distribution. LDA involves documents that are distributions of topics, that in the first place, are distributions of words.
