Keywords frequency trend analysis of online novels

Eisuke Ito, Takahiro Urakawa, Brendan Flanagan, Sachio Hirokawa

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

    Abstract

    The authors are interested in online novel services as a user-generated media on the Web. A large number of novels are being uploaded, and a few novels become major. Novel writers like to create novel of current popular genre, then current popular genre words may frequently appear. In this paper, the authors apply the time series analysis to the keywords words given to an online novel by the creator. The authors construct a trend analysis tool. The tool not only shows the trend of posted query word(s), but also shows the trends of similar terms. This paper describes the trend analysis system, the used data, and some interesting analyses.

    Original languageEnglish
    Title of host publicationProceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
    Pages68-73
    Number of pages6
    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
    CountryJapan
    CityMatsue
    Period8/31/139/4/13

    All Science Journal Classification (ASJC) codes

    • Information Systems

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