Emotional video ranking based on user comments

Naomichi Murakami, Eisuke Ito

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

    10 Citations (Scopus)

    Abstract

    Nowadays, a lot of people post various contents to the video sharing services. To find good contents, it is necessary something high-quality content search and contents classification method, and the method should understand user's taste and user's context. In this paper, we propose a ranking method based on viewer's comments, especially amount of "funny" feelings comments given by consumer. We also evaluate the questionnaire for our method. Our proposed method is assumed to be applicable to all types of content, if it given a lot of comments from people.

    Original languageEnglish
    Title of host publicationiiWAS2011 - 13th International Conference on Information Integration and Web-Based Applications and Services
    Pages499-502
    Number of pages4
    DOIs
    Publication statusPublished - 2011
    Event13th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2011 - Ho Chi Minh City, Viet Nam
    Duration: Dec 5 2011Dec 7 2011

    Publication series

    NameACM International Conference Proceeding Series

    Other

    Other13th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2011
    CountryViet Nam
    CityHo Chi Minh City
    Period12/5/1112/7/11

    All Science Journal Classification (ASJC) codes

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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