A Novel Approach to Web-Based Review Analysis Using Opinion Mining
Monica Malik, Sharib Habib, Parul Agarwal · Procedia Computer Science · 2018
With the advent of E-Commerce, a huge amount of data is being generated these days. This data can be useful if knowledge can be extracted from the business perspective. People often use websites reviews for decision making about whether the products should be bought or not. Opinion Mining enables the process of selection and decision making easier. Though several techniques exist for opinion mining based on decision making in this paper the approach is novel. In this paper the approach used is in addition to the opinions generated from the reviews collected from E-Commerce websites and calculating the overall sentiment for decision making, this paper also incorporates a priority for particular features of a product entered by the buyer for making the final decision. This has been incorporated in the form of additional weights which can be entered by the user and adjusted according to the priority. The reason to do this is that priority for a particular feature of a product may vary from person to person. Moreover, the final decision lay in the buyer’s hand in addition to the opinions collected and analysed from reviews.