Examining Polarization of Emotions in Online Shopping Websites

Today, everyone has exuberant ways to express his/her opinion, share content with others and access almost any information, hardly within a few seconds. The notoriety of online social networks and ecommerce websites has skyrocketed since last decade that they have become the indispensable need of the individual while conversing and shopping online. However, many users are harnessing these social and e-commerce websites as a mean of information and productivity. Online Shopping has overturned the idea people shop with so much ease and tremendous options. To understate insistent and arduous web surfing for comparison of various products, e-commerce websites have added a review and comment section for customers to facilitate social interaction among them which can be further analysed to detect emotion or opinion about a product -whether positive or negative. In this paper, a review of studies conducted on polarization of emotions using text mining is done to judge the shopping experience of the users and to increase the revenue for the online shopping websites from the users’ weblogs.

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