# Text analysis: classification and topic modeling

Date
Jul 22, 2020 9:30 AM
Location
Online

## Overview

• Define a document-term matrix
• Use text as predictors for classification algorithms
• Define topic modeling
• 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 $k$