Visualization of Affective Layered Structures of Liquors' Reviews on the Web using Rough Set Theory

Ryo Takenoshita, Toshinobu Harada, Kenji Ono

    Research output: Contribution to journalArticlepeer-review


    In the plan of products, affective information is increasingly utilized with diversification of a life style. Then, in this research, we had developed the system that visualizes the affective layered structures of liquors' reviews using rough set theory (hereafter, visualization system). Specifically, the development consists of the following steps. (1) The visualization system extracts affective words from the reviews of mail order sites. (2) We create the decision table in rough set theory using affective words. (3) We visualize the affective layered structure using the computed decision rules from decision table. We conducted the evaluation experiment of the visualization system for 20 subjects. We made ten subjects the summary of liquor reviews using the visualization system, and made the remaining ten subjects the summary of them without the visualization system. Consequently, the usefulness of the visualization system was verified from the contents and the time for creation of the summary.
    Original languageEnglish
    Pages (from-to)19-28
    Number of pages10
    JournalTransactions of Japan Society of Kansei Engineering
    Issue number1
    Publication statusPublished - 2017


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