Email categorization with tournament methods

Authors:
Yunqing Xia;Wei Liu;Louise Guthrie
Affiliations:
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong;NLP Research Group, Department of Computer Science, University of Sheffield, Regent court, Sheffield;NLP Research Group, Department of Computer Science, University of Sheffield, Regent court, Sheffield
Venue:
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Year:
2005

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Abstract

To perform the task of email categorization, the tournament methods are proposed in this article in which the multi-class categorization process is broken down into a set of binary classification tasks. The methods of elimination tournament and Round Robin tournament are implemented and applied to classify emails within 15 folders. Substantial experiments are conducted to compare the effectiveness and robustness of the tournament methods against the n-way classification method. The experimental results prove that the tournament methods outperform the n-way method by 11.7% regarding precision, and the Round Robin performs slightly better than the Elimination tournament on average.