title: how to improve feature selection for Naive bayes?
body: <p>I am working on some thousand of documents needed to be classified into some 5 categories. I am using Naive Bayes classifier for it. When I tested it on some few sample mails it was working fine but when I actually apply it to original dataset the calculations are getting really complexed as there are more number of features. At one point the values are so small that they are almost zero. So my question is how to avoid this problem of getting very small values and how to improve feature selection?</p>