期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：6
页码：9228
DOI：10.15680/IJIRSET.2015.0506079
出版社：S&S Publications
摘要：Today is the era of internet. People directly or indirectly associated with the World Wide Web. Most ofthe works from small electric bill payment to bank transactions, from shopping to big business deals all can be easilydone via internet. It is treated as a new source of entertainment, communication, education, etc. Apart from usinginternet people also take interest in sharing their personal suggestions and feedback in various micro-blogging sites(such as twitter), blogs, forums, social networks, etc. These reviews are very useful for the buyers in making decisionas well as for the manufacturers or retailers to improve their quality product or services. As a result, a wide collectionof consumer reviews are available on the net. It is a tedious task to go through each and every review before anypurchase, so here arises the need of such system which helps in information retrieval. Also one major problem is fakereviewer problem or opinion spamming in the system, which highly affect the marketing of the product. In this paperwe propose a product ranking framework which rank the product according to their quality and also filter the spamreviews by adopting the web log mining techniques.
关键词：Social media; Text mining; Opinion mining; Web log mining; Product reviews.
