Proposal of classification technique of Web site by keyword analysis and application to real data

DOI
  • Honda Takatomo
    Graduate School of Information Science and Technology, Hokkaido University
  • Yamamoto Masahito
    Graduate School of Information Science and Technology, Hokkaido University
  • Ohuchi Azuma
    Graduate School of Information Science and Technology, Hokkaido University

Bibliographic Information

Other Title
  • キーワード分析によるWebサイトの分類手法の提案と実データへの適用に関する研究

Abstract

Websites are classified into various categories so that it is shown in the directory-based search engine like Yahoo! Japan. Nouns the feature in each category should exist because Website in the category has contents related to the category. If nouns the feature in such each category can be used, websites can be classified into categories. In this paper, it proposes the automatic website classification technique by the similarity with the category based on the score of all nouns extracted in websites, using the appearance frequency of each category. The effectiveness is verified from 10 categories in the directory-based search engine Yahoo! Japan.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282680644278144
  • NII Article ID
    130004591304
  • DOI
    10.14864/fss.22.0.177.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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