A comparison of text-categorization methods applied to n-gram frequency statistics

Authors:
Helmut Berger;Dieter Merkl
Affiliations:
Faculty of Information Technology, University of Technology, Sydney, NSW, Australia;School of Computing and Information Technology, University of Western Sydney, NSW, Australia
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

This paper gives an analysis of multi-class e-mail categorization performance, comparing a character n-gram document representation against a word-frequency based representation Furthermore the impact of using available e-mail specific meta-information on classification performance is explored and the findings are presented.