# 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 \(k\)

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