Evaluation of Granularity of Keywords with Global and Local Document Frequencies

HANDLE Web Site 14 References Open Access
  • Shimoji, Yoshihiro
    Department of Physics, Kyushu University
  • Wada, Taiki
    Graduate School of Information Science and Electrical Engineering, Kyushu University
  • Yasumoto, Yuji
    Graduate School of Information Science and Electrical Engineering, Kyushu University
  • Yamada, Yasuhiro
    Graduate School of Information Science and Electrical Engineering, Kyushu University
  • Seki, Takahiro
    Office for Information of University Evaluation, Kyushu University
  • Hirokawa, Sachio
    Computing and Communications Center, Kyushu University

Bibliographic Information

Other Title
  • 文書群の局所性と大域性の差を利用したキーワード粒度評価
  • ブンショグン ノ キョクショセイ ト タイイキセイ ノ サ オ リヨウ シタ キーワード リュウド ヒョウカ

Search this article

Abstract

Appropriate choice of query word are crucial to obtain a good search result. If it is too vague or too general, several thousand of results would be obtained. On the other hand, if it is too specific, the number of documents retrieved would be too few. More fine keywords are necessary in the former and query expansion is necessary in the latter. Speciality and granuality are two key aspects to evaluate appropriateness of of keywords in searching documents. This report proposes a method to analyse speciality and granularity of keywords using global and local document frequencies of the keywords.

Journal

References(14)*help

See more

Related Projects

See more

Details 詳細情報について

Report a problem

Back to top