List Helpful Latent Dirichlet Allocation Resources
Learning Materials for LDA: Papers, Talks, Presentations
- Introduction to Latent Dirichlet Allocation - Blog post by Edwin Chen
- Understanding Probabilistic Topic Models - Presentation by Tim Hopper
- Probabilistic Topic Models by David Blei
- Parameter Estimation for Text Analysis by Gregor Heinrich
- LDAvis by Carson Sievert and Kenneth E. Shirley
- Probabilistic Topic Models by Mark Steyvers and Tom Griffiths
- Topic Models by Blei and Lafferty
- Probabilistic Topic Models (Presentation Slides) by David Blei
Implementations
- Mallet : Java - Gibbs Sampling
- Gensim : Python - Variational Bayes (I also wrote some notes about Gensim which can be found here)
- Scikit-learn : Python - Variational Bayes