Some fitting of naive Bayesian spam filtering for Japanese environment

Manabu Iwanaga, Toshihiro Tabata, Kouichi Sakurai

Research output: Contribution to journalConference articlepeer-review


Bayesian filtering is one of the most famous anti-spam measures. However, there is no standard implementation for treatment of Japanese emails by Bayesian filtering. In this paper, we compare several conceivable ways to treat Japanese emails about tokenizing and corpus separation. In addition, we give experimental results and some knowledge obtained by the experiments.

Original languageEnglish
Pages (from-to)135-143
Number of pages9
JournalLecture Notes in Computer Science
Publication statusPublished - 2005
Event5th International Workshop on Information Security Applications, WISA 2004 - Jeju Island, Korea, Republic of
Duration: Aug 23 2004Aug 25 2004

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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