Paper Details

Many users buy products through E-commerceinternet site. Through online shopping many E-commerce wereinadequate to notice whether the buyers are fulfilled by the services provided by the firms. This affix us to establish a schemewhere manybuyers give reviews about the product and e- shopping services, which in turn advicethe E-commerce enterprisesand manufacturers to get customer idea to enhance service and merchandise through mining buyer reviews. An algorithmcould be used to track and handlebuyer reviews, through mining topics and sentiment orientation from online customerreviews. In this system buyer will view various products and can buy products online. Buyer gives review about themerchandise and e- shopping services. Certain keywords intimated in the buyer review will be mined and will be matchedwith the keywords which are previously exist in the database based on the identification, system will rate the product andservices provided by the firm. This system will use text mining algorithm in order to mine keywords. The System takesfeedback of numerous users, based on the feedback, system will specify whether the products and services provided by the Ecommerce firm is good, bad, or worst. We use a database of sentiment based keywords along with positive or negative weightin database and then based on these sentiment keywords mined in buyer review is ranked. This system is a web applicationservice where user will view various products and buy products online and can give review about the merchandise and eshopping services. It will support various E-commerce businesses to improve or continue their services based on the buyerreview as well as to enhance the merchandise based on the buyer review.

Ms.E.Aarthi, Ms.P.Yogalakshmi, Ms.P.Muthulakshmi, “E-Commerce Product Rating Based On Customer Review Mining”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 740-744, January 2018.