Some fitting of naive Bayesian spam filtering for Japanese environment

Manabu Iwanaga; Toshihiro Tabata; Kouichi Sakurai

doi:10.1007/978-3-540-31815-6_12

Some fitting of naive Bayesian spam filtering for Japanese environment

Manabu Iwanaga, Toshihiro Tabata, Kouichi Sakurai

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English
Pages (from-to)	135-143
Number of pages	9
Journal	Lecture Notes in Computer Science
Volume	3325
DOIs	https://doi.org/10.1007/978-3-540-31815-6_12
Publication status	Published - 2005
Externally published	Yes
Event	5th International Workshop on Information Security Applications, WISA 2004 - Jeju Island, Korea, Republic of Duration: Aug 23 2004 → Aug 25 2004

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-31815-6_12

Cite this

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title = "Some fitting of naive Bayesian spam filtering for Japanese environment",

abstract = "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.",

author = "Manabu Iwanaga and Toshihiro Tabata and Kouichi Sakurai",

year = "2005",

doi = "10.1007/978-3-540-31815-6_12",

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journal = "Lecture Notes in Computer Science",

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T1 - Some fitting of naive Bayesian spam filtering for Japanese environment

AU - Iwanaga, Manabu

AU - Tabata, Toshihiro

AU - Sakurai, Kouichi

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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U2 - 10.1007/978-3-540-31815-6_12

DO - 10.1007/978-3-540-31815-6_12

M3 - Conference article

AN - SCOPUS:23944446560

SN - 0302-9743

VL - 3325

SP - 135

EP - 143

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 5th International Workshop on Information Security Applications, WISA 2004

Y2 - 23 August 2004 through 25 August 2004

ER -

Some fitting of naive Bayesian spam filtering for Japanese environment

Abstract

ASJC Scopus subject areas

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