Abstract

In recent years, fake and spam comments have become a growing problem. Commercial websites are good targets for spammers. Most commercial websites allow users to comment on products. This provides valuable information for customers and the company. In order to reflect users’ real comments and experiences accurately, it is very important to identify fake comments. Identification of fake and spam comments is very complicated due to the new techniques. The present study aimed to identify spams using collective intelligence algorithms more quickly.