Automatic assignment of "Kansei" parameters to the books based on the words in online book reviews

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  • 書評を用いた図書に対する感性パラメータの自動設定
  • ショヒョウ オ モチイタ トショ ニ タイスル カンセイ パラメータ ノ ジドウ セッテイ

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Abstract

In recent years Kansei retrieval systems have been developed to be practical use. We have developed the retrieval system using Kansei parameters based on online book reviews of children's books. The relation between parameters assigned manually and the words in online book-reviews has yet to be analyzed enough, however. Moreover, how to set appropriate value of Kansei parameters based on the words in online book reviews has not been theoretically proved. To resolve such problem, we have conducted an experiment. In this experiment, Kansei parameters which are consistent with the value gained manually were assigned based on "the words, which represent human feelings, impressions or atmosphere of books" using the machine learning approach. We have used 1605 book reviews to assign the parameters automatically. The result showed that : 1)using the words in book reviews is useful to assign parameters automatically, 2)using about 30 frequent words is more effective than using all the words in book reviews, and 3) the recall ratio is not influenced by the parts of speech of the words extracted from book reviews.

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