• DocumentCode
    259352
  • Title

    Discovery of Implicit Feature Words of Place Name

  • Author

    Hirokawa, Sachio ; Nakatoh, Tetsuya ; Nakae, Hiroto ; Suzuki, Takumi

  • Author_Institution
    Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 4 2014
  • Firstpage
    561
  • Lastpage
    566
  • 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 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.
  • Keywords
    Web sites; information retrieval; travel industry; CGM; Saga Prefecture; consumer generated media; feature word discovery; place name; tourism blog articles; tourism information retrieval; Blogs; Cities and towns; Companies; Educational institutions; Feature extraction; Internet; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-4174-2
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2014.122
  • Filename
    6913366