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Attribute Intensity Calculating Method from Evaluative Sentences by Fuzzy Inference

机译:基于模糊推理的评价句属性强度计算方法

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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."
机译:我们提出了一种从多个观点计算对象的属性强度的方法。强度是通过最小-最大推断来计算的,每个学位组的隶属度值是从收集的意见的比率中获得的。考虑到从互联网上的评估语句中提取的每个意见的可靠性来计算比率。基于语法特征,从句子中提取观点,将观点分为四个等级组,并应用观点的可靠性。此外,为了处理这种程度表达和可靠性表达,我们定义了一个五联体数据集,该数据集由“评估对象”,“聚焦属性”,“方向表达”,“程度表达”和“可靠性表达”组成。

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