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