基于语义的电子商务网站商品评价倾向性研究

作为一个信息挖掘的新兴领域，电子商务网站商品评价倾向性研究成为一个研究的热点问题。利用对客户评论信息的挖掘和分析，消费者可以了解其他用户的态度倾向分布，做出更好的购买决策。销售商和生厂商则可以了解用户对自己和对竞争对手的评价，进而改进产品和服务。实现倾向性分析的前提是有效识别文本中表达主观情感、态度和观点的内容，进而对主观性成分进行判断。本文构建了基于语义的电子商务网站商品评价倾向性模型与方法体系，尝试解决当前Web环境下电子商务网站商品评价所面临的问题。

关键词  电子商务  倾向性  情感词  目标词  极性判别
Title    Orientation Analysis of The Evaluation of Goods
  on E-commerce Website Based on Semantic         

Abstract
As an emerging field of data mining, orientation analysis of the evaluation of goods on e-commerce website is becoming a hotspot in the study. By using the orientation analysis of other users' reviews, consumers can understand the attitude of other users, to make a better buying decision. Manufacturers can understand the evaluation of themselves and competitors, thereby improving the products and services. A prerequisite for the orientation analysis is an effective expression of the text to identify the subjective feelings, attitudes and perspectives of content, and components of subjective judgments. This paper builds a semantic-based e-commerce website product evaluation system and method of preference for the model to try to resolve problems of evaluation of goods in e-commerce Web site currently.

Keywords  E-commerce  Sentiment Orientation  Polarity Word  Target Word

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