A survey on online review SPAM detection techniques
S. P. Rajamohana, K. Umamaheswari, M. K. Dharani, R. Vedackshya · 2017
The development of Internet influenced many of our day-to-day activities. Ecommerce is one of the rapid growth areas in the Internet era. People are eager to buy products from online sites like Amazon, ebay, Flipkart etc. Online sites also provide facility for customers to write review on products they buy. These reviews help consumers and vendors for making decision on marketing strategies, and the improvement of products and services. Nowadays people are very much interested to read reviews before purchasing any product and getting services. This makes areas for opinion spammers to write fake reviews to promote or to demote both products and business services. This type of activities is often referred as Review spam. Thus detecting fake reviews has become more critical issue for customers to make better decision on purchase as well as the vendors to make their products trustworthy. In this paper a detailed survey is done using various machine learning techniques for detecting spam and genuine reviews.