Discovery of Implicit Feature Words of Place Name

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


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.


Hierarchical Structure Postal Code Related Word Related Place Tourism Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported by JSPS KAKENHI Grant Number 24500176.


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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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