Implementing a Naive Bayes Classifier from scratch in python

#Features:

• use add one smooth to avoid 0 count problem
• assign 1 to known exists words
• use stop word list
• use f-meaure to evalulate
• use words 's stem to count ex: sensibility , sensible , sensibilites has the same stem (sensibl) so they are the same word