Review Mining - A Modified Approach for Business Intelligence

Authors

Vishal Kale, Gunjan Kshirsagar, Rutuja Jagtap, Shristee Kumari, Pooja Vengurlekar

Abstract

In this paper we have explained the concepts and implementation detail of developing a framework which can be used for the purpose of discovering business intelligence from the customer reviews of a product or a service posted online on www.snapdeal.com after the use of that product. Existing work explained the analysis of single product i.e. Samsung S5 on the basis of star ratings given by the customers after the use. Our proposed framework has been designed by collecting the reviews for multiple products of same type. Rather than focusing on star ratings which was done in the existing system, in this proposed system we have considered textual reviews and comments given by the customer since, they are more precise and specific about the quality of the product. In the pre-processing work related to this framework, we have used text mining. The decision generated by the system would be helpful for Customers to know users point of view about product and take purchase decision before buying it as well as it is useful for Business analyst in understanding the product dimensions, attributes and inherent association among them.

Keywords

Business Intelligence, Data Mining, Product Reviews.

Review Mining - A Modified Approach for Business Intelligence. Vishal Kale, Gunjan Kshirsagar, Rutuja Jagtap, Shristee Kumari, Pooja Vengurlekar. 2016. IJIRCT, Volume 1, Issue 6. Pages 536-540. https://www.ijirct.org/viewPaper.php?paperId=IJIRCT1201117