Naive Bayes Text Classification in Pure Python.

Features:
1. Multinomial & Bernoulli NB models
2. Feature Selection for multiple classes using Information Gain
3. Word negations as features. Often useful for sentiment classification problems
4. No dependency on numpy/scipy