Sunil B. Mane, Kruti Assar, Priyanka Sawant and Monika Shinde, ,
Affiliations Assistant Professor, Department of Computer Engineering and Information Technology, College of Engineering Pune Pune - 411005, Maharashtra, India.
:10.22362/ijcert/2017/v4/i5/xxxx [UNDER PROCESS]
Amazon.com is one of the largest electronic commerce website in the world which allows users to purchase different products and submit reviews on each one of them. The reviews allow the first-time buyers to understand the quality of the products and decide whether to make a purchase or not. The reviews result in unstructured big data which can be analyzed and used for recommendation of a product on the website. However, it is possible that some customers write fake reviews to promote or defame a particular brand. So it is important to detect and remove the fake reviews for providing the correct rating to the product. Also, it is necessary to create a fast and efficient system for analyzing big data. The present systems used for big data analysis are quite slow. So here, we use the Apache Spark framework for increasing the speed of processing the Amazon reviews. This paper provides a new implementation for analyzing Amazon reviews which involve detection of fake reviews, processing the genuine reviews using Apache Spark and finally rating the products.
Sunil B. Mane et.al, â€œProduct Rating using Opinion Miningâ€, International Journal of Computer Engineering In Research Trends, 4(5):161-168 ,May -2017.
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