Discovery of Implicit Feature Words of Place Name

  • Sachio Hirokawa
  • Tetsuya Nakatoh
  • Hiroto Nakae
  • Takahiro Suzuki
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 90)

Abstract

Individual opinions and experiences are published in Web as CGM (consumer generated media). A tourism blog which a tourist wrote his experience and impression in a certain area is very helpful information for other tourists. However, a user cannot obtain such precious information without knowing the relation of blog articles and concrete place-names. We paid our attention to the hierarchical structure of place-names. In this paper, we propose the method of connecting related words to the place-name which does not appear explicitly in a blog article paying attention to the hierarchical structure of place-names. From 45,553 blog articles about the Karatsu area in Saga Prefecture, the potential related words about 78 place-names of Saga Prefecture which have not appeared in the blogs were extracted. 4 subjects evaluated that meaningful related words are obtained in 80 % or more of the place-names. However, the direct relationships between the place-name and related words was not able to be guessed easily.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Sachio Hirokawa
    • 1
  • Tetsuya Nakatoh
    • 1
  • Hiroto Nakae
    • 2
  • Takahiro Suzuki
    • 1
  1. 1.Research Institute for Information TechnologyKyushu UniversityFukuokaJapan
  2. 2.Graduate School of Information Science and Electrical EngineeringKyushu UniversityFukuokaJapan

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