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Published 20 hours ago • verified publisher icon jekyll

Approach state of art

Open arjunmenon opened this issue 8 years ago • 1 comments

How do you include the TF-IDF weights in this method? Compared to simple MNB having count of plain bag of words, MNB with TF-IDF gets more accuracy. How do you implement this? www.cs.waikato.ac.nz/~eibe/pubs/kibriya_et_al_cr.pdf

Also, as a bonus a complement naive bayes further improves the problem of inconsistent dataset size, which with plain MNB favours the larger one. This scenario is fairly common. Some inputs on that as well would be appreciated,.

arjunmenon avatar Mar 06 '17 16:03 arjunmenon

We've discussed TF-IDF, but I haven't had time to dig into it.

Ch4s3 avatar Mar 06 '17 22:03 Ch4s3