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Attribute Intensity Calculating Method from Evaluative Sentences by Fuzzy Inference

  • Kazuya Mera
  • Hiromi Yano
  • Takumi Ichimura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3681)

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 Internet. Extracting the opinions from sentences, classifying the opinions into four 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.”

Keywords

Membership Function Fuzzy Membership Function Orientation Expression Epistemic Modality Multiple Opinion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kazuya Mera
    • 1
  • Hiromi Yano
    • 2
  • Takumi Ichimura
    • 1
  1. 1.Faculty of Information SciencesHiroshima City UniversityHiroshimaJapan
  2. 2.Graduate School of Information SciencesHiroshima City UniversityHiroshimaJapan

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