Attribute intensity calculating method from evaluative sentences by fuzzy inference

被引：0

作者：

Mera, K

Yano, H

Ichimura, T

机构：

[1] Hiroshima Univ, Fac Informat Sci, Asaminami Ku, Hiroshima 7313194, Japan

[2] Hiroshima Univ, Grad Sch Informat Sci, Asaminami Ku, Hiroshima 7313194, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | 2005年 / 3681卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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."

引用

页码：893 / 900

页数：8