期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：8
页码：14048-14051
DOI：10.18535/ijecs/v4i8.76
出版社：IJECS
摘要：Reputation based trust models are widely used in e-commerce applications. The feedback comments are used to computesellers’ reputation trust score. This system is based on the observation that the buyers can express their opinions openly and honestly infree text feedback comments. If there are no feedback comments available then the buyer need to consider the features specified for eachproduct. The tool SentiWordNet is used for the extraction of feedback comments into positive, negative and neutral. K-means clusteringmethod is used to group the data obtained after sentimental analysis. Each sentence in a feedback comment is considered as a document.This calculation is lead to obtain a sellers trust profile. The problem faced by all the reputation system is an all good reputation problemwhere reputation score are universally high for sellers and this will be difficult for a potential buyer to identify the potential buyer. Thissystem will provide a solution for this system.
关键词：E-commerce; SentiWordNet; Text mining; K-means
