Naive Bayes and Text Classification I - Introduction and Theory

An algorithm for suffix stripping

Martin F Porter · 1980

Earlier work this paper cites.

On the optimality of the simple bayesian classifier under zero-one loss

Pedro Domingos and Michael Pazzani · 1997

Earlier work this paper cites.

A bayesian approach to filtering junk e-mail

Mehran Sahami, Susan Dumais, David Heckerman, and Eric Horvitz · 1998

Earlier work this paper cites.

A comparison of event models for naive bayes text classification

Andrew McCallum, Kamal Nigam, et al · 1998

Earlier work this paper cites.

An empirical study of the naive bayes classifier

Irina Rish · 2001

Earlier work this paper cites.

Automated essay scoring using bayes’ theorem

Lawrence M Rudner and Tahung Liang · 2002

Cited alongside, same era.

N-gram-based author profiles for authorship attribution

Vlado Kešelj, Fuchun Peng, Nick Cercone, and Calvin Thomas · 2003

Cited alongside, same era.

The optimality of naive bayes

Harry Zhang · 2004

Cited alongside, same era.

Influence of word normalization on text classification

Michal Toman, Roman Tesar, and Karel Jezek · 2006

Cited alongside, same era.

Naive bayesian classifier for rapid assignment of rrna sequences into the new bacterial taxonomy

Qiong Wang, George M Garrity, James M Tiedje, and James R Cole · 2007

Cited alongside, same era.

Words versus character n-grams for anti-spam filtering

Ioannis Kanaris, Konstantinos Kanaris, Ioannis Houvardas, and Efstathios Stamatatos · 2007

Later among the works it cites.

Application of the naïve bayesian classifier to optimize treatment decisions

Joanna Kazmierska and Julian Malicki · 2008

Later among the works it cites.

N-gram based text classification according to authorship

Andelka Zecevic · 2011

Later among the works it cites.

Rotation-invariant features for multi-oriented text detection in natural images

Cong Yao, Xin Zhang, Xiang Bai, Wenyu Liu, Yi Ma, and Zhuowen Tu · 2013

Later among the works it cites.