Evaluation of tourism resources extraction based on Japanese dependency analysis

Tetsuya Nakatoh, Sachio Hirokawa

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

    3 Citations (Scopus)

    Abstract

    Blog articles by tourists contain interesting and personal experiences of where and how they have gone, what they have done and what they thought. Such individual experiences are helpful in many cases compared to the general and official information about the tourist resort by tourist agents. However, it is not easy to choose related articles and to extract still more nearly required information from these unsorted blog articles. We have proposed a method of feature extraction by dependency analysis of those sentences that describe tourist behavior. This paper apply the proposed method to 7,917,385 blog articles on Kyushu area and shows the evaluation about the obtained resources for tourism.

    Original languageEnglish
    Title of host publicationProceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
    Pages100-103
    Number of pages4
    DOIs
    Publication statusPublished - 2013
    Event2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013 - Matsue, Japan
    Duration: Aug 31 2013Sep 4 2013

    Publication series

    NameProceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013

    Other

    Other2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
    Country/TerritoryJapan
    CityMatsue
    Period8/31/139/4/13

    All Science Journal Classification (ASJC) codes

    • Information Systems

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