Improving Quality of Email Categorization with Tournament Methods

نویسندگان

  • Kam-Fai Wong
  • Louise Guthrie
  • Wei Liu
  • Yunqing Xia
چکیده

The tournament text classification methods are proposed in this article to perform the task of email categorization, in which the essence is to break down the multi-class categorization process into a set of binary classification tasks. We implement the methods of elimination and Round Robin tournament 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 and the voting method. The experimental results show that the tournament methods outperform the n-way method by 11.7% and the voting method by 4.1% regarding precision, and the Round Robin performs slightly better than the Elimination tournament on average.

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تاریخ انتشار 2005