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