Title :
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
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;
Conference_Titel :
Contemporary Computing and Informatics (IC3I), 2014 International Conference on
Conference_Location :
Mysore
DOI :
10.1109/IC3I.2014.7019662
