Tutorials on topic models and LDA I would like to know if you people have some good tutorials (fast and straightforward) about topic models and LDA, teaching intuitively how to set some parameters, what they mean and if possible, with some real examples.
If you're working in R, Carson Sievert's tutorial on using LDA to model topics in movie reviews is an excellent starting point:  

http://cpsievert.github.io/LDAvis/reviews/reviews.html

This tutorial makes use of LDAvis, an interactive visualization of topic and word distributions that can really aid intuition.

Also, although not short, David M. Blei's lectures on topic models are a great resource for understanding the meaning behind the parameters: http://videolectures.net/mlss09uk_blei_tm/