A Comparison of Text-Categorization Methods Applied to N-Gram Frequency Statistics

摘要

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.