Applied Unsupervised Learning with Python

Chapter 7

Topic Modeling

Learning Objectives

By the end of this chapter, you'll be able to:

• Perform basic cleaning techniques for textual data
• Evaluate latent Dirichlet allocation models
• Execute non-negative matrix factorization models
• Interpret the results of topic models
• Identify the best topic model for the given scenario

In this chapter, we will see how topic modeling provides insights into the underlying structure of documents.

Introduction

Topic modeling is one facet of natural language processing (NLP), the field of computer science exploring the relationship between computers and human language, which has been increasing in popularity with the increased availability of textual datasets. NLP can deal with language in almost any ...