圧縮プログラムを応用した著者推定 asshuku puroguramu o oyoshita chosha suitei

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抄録

原著論文Benedetto et al. recently confirmed the validity of a method for measuring similarity using data compression software. Despite its potential, this method has not yet been applied to the field of information science. The present study proposes the use of CIR, a modified method that uses an improved ratio of compression, and describes two experiments on authorship attribution using data from modern Japanese literature. The first experiment compares the results of applying CIR and Benedetto's method to test collections of modified data (fixed length) using aprocedure similar to that described by Matsuura et al. The second experiment is based on original data (variable length).The first experiment showed an average precision rate of 97.7% for CIR, while Benedetto's method gave a rate of 90.5%. The CIR method proves to be an improvement on the best method described by Matsuura et al. The second experiment confirmed the e

収録刊行物

  • Library and information science

    Library and information science (54), 1-18, 2005

    三田図書館・情報学会

被引用文献:  1件中 1-1件 を表示

各種コード

  • NII論文ID(NAID)
    120001256793
  • NII書誌ID(NCID)
    AN00003152
  • 本文言語コード
    JPN
  • 資料種別
    Journal Article
  • 雑誌種別
    大学紀要
  • ISSN
    03734447
  • NDL 記事登録ID
    7838652
  • NDL 雑誌分類
    ZU8(書誌・図書館・一般年鑑--図書館・ドキュメンテーション・文書館)
  • NDL 請求記号
    Z21-2
  • データ提供元
    CJP引用  NDL  IR 
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