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Phrases and Feature Selection in E-Mail Classification

In this paper we study the effectiveness of using a phrase-based representation in e-mail classifi- cation, and the affect this approach has on a number of machine learning algorithms. We also evaluate various feature selection methods and reduction levels for the bag-of-words representation on several learning algo- rithms and corpora. The results show that the phrase- based representation and feature selection methods can be used to increase the performance of e-mail classi- fiers.