データマイニングを用いた2種類の酒類におけるWeb上の感性情報の比較と視覚化

Translated title of the contribution: Comparison and Visualization of Affective Information on Two Liquors' Reviews on the Web Using Data Mining

Ryo Takenoshita, Toshinobu Harada, Kenji Ono

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In the plan of the products, affective information is utilized with diversification of a life style. Then, in this research, we developed the system that visualizes the difference in affective layered structures of two liquors' reviews (hereafter, visualization system). Specifically, the development consists of the following steps. (1) The visualization system extracts affective words from the reviews on the web. (2) We create the decision table in rough set theory using affective words. (3) The visualization system visualizes the difference in affective layered structures of two liquors using decision rules from each decision table. We conducted the evaluation experiment of the visualization system for 10 subjects. We made five subjects summarize comparison results of two liquors' reviews using the visualization system, and made remaining five subjects summarize them without it. Consequently, the usefulness of the visualization system was verified from the summarized contents and the creation time of them.
    Translated title of the contributionComparison and Visualization of Affective Information on Two Liquors' Reviews on the Web Using Data Mining
    Original languageJapanese
    JournalTransactions of Japan Society of Kansei Engineering
    DOIs
    Publication statusPublished - Aug 24 2017

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