Baby steps toward a Bayes classifer

Actually, the blog title is a misnomer–I started trying to code up a naive Bayes classifer while studying chapter 6 of the Python NLTK book, but I didn’t get very far before I switched over to a tutorial on the scikit-learn random forest classifer, because it aimed at building something instead of demonstrating little building blocks.

I haven’t gotten far, but at this point I can create a feature set from a cleaned-up ‘bag of words’ using scikit-learn.

Next up: training the random forest! (I love the terminology involved, by the way. “training the random forest” sounds like a nonsense poem).