Proceedings of the Fuzzy System Symposium
21st Fuzzy System Symposium
Session ID : 7A2-3
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7A2.
Attribute Information Extracting Method from Evaluative Sentences based on Grammatical Features
*Kazuya MERAHiromi YANOTakumi ICHIMURA
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Abstract

We propose a method to calculate the attribute's intensity of an object from multiple opinions. The intensity is calculated by min-max inference and the membership value of each degree group is obtained from the rate of collected opinions. The rate is calculated considering to the reliability of each opinion which are extracted from evaluative sentences on the WWW. Extracting the opinions from sentences, classifying the opinions into three degree groups, and applying the reliabilities of the opinions are done based on the grammatical features. Furthermore, in order to deal with such degree expression and reliability expression, we define a quintuplet dataset which consists of "evaluative subject," "focused attribute," "orientation expression," "degree expression," and "reliability expression."

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© 2005 Japan Society for Fuzzy Theory and Intelligent Informatics
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