日本感性工学会論文誌
Online ISSN : 1884-5258
ISSN-L : 1884-0833
原著論文
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
竹之下 遼原田 利宣小野 謙二
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ジャーナル フリー

2018 年 17 巻 1 号 p. 11-20

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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.

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© 2017 日本感性工学会
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