I am trying to implement a naive Bayes classifier to analyze moods. I plan to use the TF-IDF weight measure. I'm just a little stuck. NB usually uses the frequency of a word (function) to find the maximum probability. So, how do I present the TF-IDF weight measure in naive bayes?
source
share