# cm016 - March 1, 2017

## Overview

• Define topic modeling
• Define a document-term matrix
• Use text as predictors for classification algorithms
• Explain Latent Dirichlet allocation and how this process works
• Demonstrate how to use LDA to recover topic structure from a known set of topics
• Demonstrate how to use LDA to recover topic structure from an unknown set of topics
• Identify methods for selecting the appropriate parameter for $$k$$