Business intelligence from online product review-a rough set based rule induction approach

Author

Das, Tushar Kanti ; Acharjya, D.P. ; Patra, M.R.

Author_Institution

Sch. of Inf. Technol. & Eng., VIT Univ., Vellore, India

fYear

2014

fDate

27-29 Nov. 2014

Firstpage

800

Lastpage

803

Abstract

In this paper we have explained the detailed work done in developing a framework which can be used for the purpose of discovering business intelligence with the help of decision rules induced from the customer reviews of a product or a service posted online. We have explained the analysis for the product Samsung Galaxy S5. Our proposed framework has been designed by collecting the reviews from Samsung home page, preprocessing it and inducing rules by using rough set based LEM2 algorithm. The induced rules would be helpful for Business analyst in understanding the product dimensions, attributes and inherent association among them.

Keywords

competitive intelligence; customer services; decision making; rough set theory; Samsung Galaxy S5; business analyst; business intelligence; customer reviews; decision rules; online product review; rough set based LEM2 algorithm; rough set based rule induction approach; Algorithm design and analysis; Approximation methods; Business; Data mining; Educational institutions; Machine learning algorithms; Sentiment analysis; Business Intelligence; Product Review; Rule Inductions;

fLanguage

English

Publisher

ieee

Conference_Titel

Contemporary Computing and Informatics (IC3I), 2014 International Conference on

Conference_Location

Mysore

Type

conf

DOI

10.1109/IC3I.2014.7019662

Filename

7019662