In the first part of this chapter, you will learn how to analyze Topic modeling output from Amazon Comprehend. Specifically, you will learn the fundamentals of the algorithm used for Topic modeling, Latent Dirichlet Allocation (LDA). Learning LDA will allow you to apply Topic modeling to a multitude of unique business use cases.
You will then perform Topic modeling on two documents with a known Topic structure. The first is the story Romeo and Juliet and the second is War of the Worlds. Lastly, you will analyze topics from 1,000 text documents containing negative movie reviews with Amazon Comprehend.