Extraction of tourist behavior contexts from blog by verbs and their objects

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. This paper proposes a technique of feature extraction by dependency analysis of verbs and objects in those sentences that describe tourist's behavior. This paper applied the method to 7,917,385 blog articles on Kyushu area and reports some analysis on "where and what did they eat" as case studies.

    Original languageEnglish
    Title of host publicationProceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012
    Pages112-116
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    Event1st IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012 - Fukuoka, Japan
    Duration: Sep 20 2012Sep 22 2012

    Publication series

    NameProceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012

    Other

    Other1st IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012
    Country/TerritoryJapan
    CityFukuoka
    Period9/20/129/22/12

    All Science Journal Classification (ASJC) codes

    • Information Systems

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