Business intelligence from customer review management using rough set model.

Many people examine online opinions written by different users to analyze more about a product or venue. However, the overwhelming quantity of user-generated opinions and variance in length, detail and quality across the reviews make it difficult to collect useful information. In this paper, we present a structure which can be used for the purpose of discovering business intelligence with the help of decision rules induced from the client reviews of a product or a service posted online. We have clearly the analysis of the review for J.W Hotel Ankara. Our proposed framework has been designed by collecting the reviews from the JW hotel official website, preprocessing data and inducing rules by using rough set based Learning from Module (LEM2) algorithm. The prompted rules could be useful for business analyst in understanding the product dimensions, attributes and inherent affiliation among them.