期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：10
页码：3779-3782
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Nowadays there are so many applications available on internet because of that user can not always get correct or true reviews about the product on internet. So we can check for more than 2 sites, for reviews of same product. The reviews may be fake on individual sites. But after comparing reviews from 2 sites we can get more clear idea. Hence we can get higher probability of getting real reviews. So we are proposing a system to develop a android application that will take reviews from two different websites for single product, and analyze them with NLP for positive negative rating. In this , User will give 2 different URLs from 2 different sites for same product to system as input.For every URL Reviews and comments will be fetched separately and analyzed with NLP for positive negative rating .Then their rating will be combined together with average to give final rating for the product. In this paper we propose the system to develop a android app which help to detect fraud apps using cloudstack and data mining. To develop propose system we use two methods natural language processing and K-means algorithm.
关键词：Mobile Apps; ranking fraud detection; evidence ; aggregation; historical ranking records; rating and review; ; K-means; natural language processing (NLP).
