Shahuraj Patil, Jyoti Raghatwan
Abstract: The purpose of the work we are going to find import aspect of the product and its rank this aspect by using numerous consumer reviews. The consumer reviews contain rich and valuable knowledge about the product. And this knowledge is very useful for both consumer and firm. Consumer can make wise purchasing decision by paying more attention towards important aspect or feature. And firm will concentrate on important features or aspect while improving the quality of the aspect. So in this proposed framework, this will identify the important aspect of product from online consumer reviews. The important aspects are commented again and again in consumer review and the consumers opinions on the important aspects are greatly influence their overall opinions on the product. From the consumer reviews the important aspect are identified by using NPL tool, and will classify the sentiment on that aspect, and finally we are going apply the ranking algorithm to determine the particular product rating.
Keywords: e-commerce, online shopping, Consumer review, Sentiment classification, Product aspect, ranking algorithm