文章基本信息

标题：Web User Opinion Analysis for Product Features Extraction and Opinion Summarization
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作者：Ravi kumar V ; K. Raghuveer
期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2012
卷号：3
期号：4
DOI：10.5121/ijwest.2012.3407
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Selling the product through Web has become more popular because of online shopping. This enables merchants to sell their products through Web and expects the customer to express their opinion through online about the product which they have purchased. Due to this we find number of customer reviews on a particular product, it varies from hundreds to thousands, for some product it is more than that. In order to help the customer and the manufacture/merchant we propose a semantic based approach to mine different product features and to find the opinion summarization about each of these extracted product features by means of web user opinion expressed through the customer reviews using typed dependency relations.
关键词：Product Feature extraction; Opinion Identification; Opinion Sentences; Dependency Relations; Pronoun;resolution.