言語に依存しない迷惑メール選別手法

• 阪口 哲男

  筑波大学大学院 図書館情報メディア研究科

• 于 家富

  筑波大学 図書館情報専門学群

書誌事項

タイトル別名

• A Language Independent Method for Filtering Unsolicited Bulk E-Mails
• ゲンゴ ニ イゾン シナイ メイワク メール センベツ シュホウ

抄録

The growth of unsolicited bulk e-mails (spams) is a crucial problem on e-mails of the Internet. There are many anti-spam tools based on automatic classification by learning, such as Bayesian filters. They are dependent on language of e-mails because they have lexical analyzer to get words from e-mails. However, spams are written in various languages, such as English, Japanese, Chinese, and so on. This paper proposes a language independent method for filtering spams. By the method, e-mails are classified into spams and no-spams by SVM which uses frequencies of sub-strings extracted from e-mails. This paper also describes a result of test of the method with sample e-mails written in English, Japanese, Chinese, and some other languages, and discusses about the result and future works.

収録刊行物

• 情報知識学会誌

  情報知識学会誌 15 (2), 53-56, 2005

  情報知識学会

キーワード

• General Earth and Planetary Sciences
• General Environmental Science

詳細情報

• CRID: 1390001204423959040
• NII論文ID: 110003375657
• NII書誌ID: AN10459774
• DOI: 10.2964/jsik_kj00003381800
• ISSN: 18817661
• ISSN: 09171436
• NDL書誌ID: 7432108
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7432108
• Web Site: https://www.jstage.jst.go.jp/article/jsik/15/2/15_KJ00003381800/_pdf
• 本文言語コード: ja
• データソース種別:
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