This content is from the fall 2016 version of this course. Please go here for the most recent version.
cm014 - November 9, 2016
Overview
- 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 \(k\)
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