Correlation analysis between user's emotional comments and popularity measures

Zechen Wu, Eisuke Ito

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

    21 Citations (Scopus)

    Abstract

    On user generated contents sites, user's comments include the user's impression to the content. The authors believe that user's comments can be used as the data mining resource to evaluate the contents. In this paper, the authors focus on bilibili.tv, a Chinese video sharing site, and analyze user's emotional comments on the site. Toward development of content quality measurement based on emotional comments, they investigate co-relation between emotional comments and popularity measures such as number of replay and bookmark. They pick up the phrase '233', which is a Chinese network jargon which represents lot of laugh, and studied the number of '233' related comments and other popularity measures.

    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.
    Pages280-283
    Number of pages4
    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

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