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Aspect Mining: Extracting Important Aspects From Consumers- Review

Author(s):

S. P. Pingat , Smt. Kashibai Navale College of Engineering , Pune.; Dhondu Wathore, Smt. Kashibai Navale College of Engineering , Pune.; Manish Rane, Smt. Kashibai Navale College of Engineering , Pune.; Shailesh Kamble, Smt. Kashibai Navale College of Engineering , Pune.; Riyaj Pathan, Smt. Kashibai Navale College of Engineering , Pune.

Keywords:

Aspect, Aspect Identification, Aspect Ranking, Consumer Review, E-Commerce, Product Aspect, Sentimental Analysis

Abstract

Thousands of aspects are associated with product. Some of these aspects are important while some are not. Important aspects influence the purchasing decision of the consumer. Hence indentifying the important aspects becomes necessary for consumers as well as for manufacturer. Consumer can buy good product as per their requirement based on the aspect information and manufactures can improve the quality of their product and can focus on improving the quality of poor aspects. This paper describes various techniques used for important aspect identification and aspect ranking.

Other Details

Paper ID: IJSRDV3I110189
Published in: Volume : 3, Issue : 11
Publication Date: 01/02/2016
Page(s): 321-322

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