Whats the best method to use the words itself as the features in any machine learning algorithm ?
The problem I have to extract word related feature from a particular p
tf-idf is a pretty standard way of turning words into numeric features.
You need to remember to use a learning algorithm that supports numeric featuers, like SVM. Naive Bayes doesn't support numeric features.