The first article of this series explains how to process free-text entries in survey comments so that a law firm or law department can use the tools of natural language processing (NLP). The second article explores how to gain insights about written comments in surveys from word clouds, associations, sentiment, and bigrams. In this third article, we focus on a popular tool to ferret out elusive themes in text comments, referred to as topic modeling.