A Comparison of Event Models for Naive Bayes Text Classification
Contrasts two types of naive bayes models:
- bernoulli model -- binary word features & no dependencies between words
- multinomial model -- unigram language model w/ integer word counts
This paper talks about how these 2 models differ, and when each works better. In short, they prefer multinomial models.