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Class for building and using a multinomial Naive Bayes classifier. For more information see,
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
The core equation for this classifier:
P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule)
where Ci is class i and D is a document.
Incremental version of the algorithm.
BibTeX:
@inproceedings{Mccallum1998,
author = {Andrew Mccallum and Kamal Nigam},
booktitle = {AAAI-98 Workshop on 'Learning for Text Categorization'},
title = {A Comparison of Event Models for Naive Bayes Text Classification},
year = {1998}
}
Valid options are:
-D
If set, classifier is run in debug mode and
may output additional info to the console
author: Andrew Golightly (acg4@cs.waikato.ac.nz) author: Bernhard Pfahringer (bernhard@cs.waikato.ac.nz) author: Jiang Su version: $Revision: 1.2 $ |