Am currently using Naive Bayes for a multi labelled text document classification problem.
But I would like to know the differences (advantages and disadvantages) of using SkiLearn Naive Bayes or NLTK?
SkiLearn seems to have flexibility in parameter setting more than NLTK, but I'm think my thoughts on this being the only difference is quite naive.
Also what cases would you select one over the other?
Any help appreciated.