Latent Dirichlet Allocation (LDA) is a ML methods to analyse the unobserved variable (topic) based on the observed variables (words and documents). In this course, we will introduce topic models, mainly focusing on LDA and its application (with python). In this chapter 2, we will touch the extensions of LDA model.
The course is helpful for those who are interested in NLP. especially Topic Modeling. It gives a clear instruction on how the extensions are different from the original LDA and when to use it practically.