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 journalArticle

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.
Original languageJapanese
JournalTransactions of Japan Society of Kansei Engineering
DOIs
Publication statusPublished - Aug 24 2017

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Data mining
Visualization
Decision tables
Rough set theory
Experiments

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title = "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",
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.",
author = "Ryo Takenoshita and Toshinobu Harada and Kenji Ono",
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doi = "10.5057/jjske.TJSKE-D-17-00052",
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AU - Takenoshita, Ryo

AU - Harada, Toshinobu

AU - Ono, Kenji

PY - 2017/8/24

Y1 - 2017/8/24

N2 - 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.

AB - 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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