Discovery of implicit feature words of place name

Sachio Hirokawa, Tetsuya Nakatoh, Hiroto Nakae, Takahiro Suzuki

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages561-566
    Number of pages6
    ISBN (Electronic)9781479941735
    DOIs
    Publication statusPublished - Sep 29 2014
    Event3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan
    Duration: Aug 31 2014Sep 4 2014

    Publication series

    NameProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

    Other

    Other3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    CountryJapan
    CityKitakyushu
    Period8/31/149/4/14

    All Science Journal Classification (ASJC) codes

    • Information Systems

    Fingerprint Dive into the research topics of 'Discovery of implicit feature words of place name'. Together they form a unique fingerprint.

    Cite this