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Published in:   Vol. 3 Issue 2 Date of Publication:   February 2014

Online Product Ranking Based on Important Features Identified in Consumer Reviews


Page(s):   30-33 ISSN:   2278-2397
DOI:   10.20894/IJWT. Publisher:   Integrated Intelligent Research (IIR)

The purpose of the work are used to identify the important features of the consumer reviews based on the product they purchased and used through online shopping. Consumer comments can play a significant role in the world of online shopping. Every comments of individuals are important as well as it enables others to know about the details of particular product and make them to take correct decision before they purchase the product. Reviews are beneficial for customer at the time of purchasing as well as firm to develop their concern. This paper consists the product ranking depends upon the features identified in consumer reviews. In a given customer reviews, important features are identified using shallow dependency parser, and classified them in to positive or negatives via sentiment classification using NLP, finally apply the ranking algorithm to determine the particular product ratings.