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A Feature-Based Opinion Mining Model on Product Reviews in Vietnamese

机译:越南菜产品评论的一个基于特征的意见挖掘模式

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Feature-based opinion mining and summarizing (FOMS) of reviews is an interesting issue in opinion mining field. In this paper, we propose an opinion mining model on Vietnamese reviews on mobile phone products. Explicit/Implicit feature-words and opinion-words were extracted by using Vietnamese syntax rules as same as synonym feature words were grouped into a feature, which belongs to the feature dictionary. Customers' opinion orientations and summarization on features were determined by using VietSentiWordNet and suitable formulas.
机译:以特征为基础的意见挖掘和总结(FOMS)的评论是意见采矿领域的一个有趣问题。在本文中,我们提出了对移动电话产品越南评论的意见矿业模式。通过使用越南语法规则提取显式/隐式功能单词和意见单词,与同义词要素单独分组成一个特征,属于特征词典。通过使用VietsentiorWordnet和合适的公式来确定客户的意见方向和对特征的总结。

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