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This tutorial explains how Latent Dirichlet Allocation performs topic modeling and derives posterior inference using collapsed Gibbs sampling. It covers the underlying distributions, conditional probability calculation, and pseudocode for the sampling procedure.
Syllabus
- Introduction
- What is topic modelling?
- LDA
- Posterior Inference
- Gibbs Sampling
- Collapsed Gibbs
- Finding conditional probability
- Implementation
- Pseudo code
- Ending
Taught by
Aladdin Persson