An Efficient Spam Review Detection Using Active Deep Learning Classifiers

Abstract

Online fake reviews and ratings is making a big impact In order to purchase or subscribe to the online services. So it is important to detect fake review from e-commerce sites. So review spam detection is more important nowadays. There are many research have been done in this area but no one can detect review spam efficiently with high accuracy. This is known as review spamming. We integrate SVM which is a supervised method and unsupervised methods (rating consistency check, question in reviews, all capital letter reviews, link in a review etc.).