期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303171
出版社：S&S Publications
摘要：A wide range of consumer reviews are available on different e-commerce websites for differentproducts. Consumer reviews contain a rich set of knowledge which can be used for finding both product aspects orfeatures as well as sentiment of consumer on different aspects of the product. The important features of any product canbe extracted from the consumer review by finding the frequent noun terms in the reviews which are commented bylarge number of consumer, since the aspects are usually noun or noun phrases (Liu, 2009). Then we find the aspect -level sentiment word from the consumer review by using sentiment lexicon which consist a list of sentiment words.Then we develop a review based product aspect ranking framework which will use aspect frequency and the influenceof consumer openions given to each and every product aspect for giving ranking to the product. Since we are givingranking to the product based on the consumer review so we provide a unique transaction-id to every consumer on theirsuccessful transaction, Then we use Transaction-Id verification system to verify the customer and to allow them towrite review.
