A survey about spam detection and analysis using users’ reviews

Abstract

With the advent of online stores, there are provisions for online ratings and reviews as well for different products. These reviews help the potential buyers in making a decision about their purchase. Driven by a desire for profit, certain organizations may produce spam reviews about other products or about their own in order to mislead the customers. The attempts for spammer detection include study of reviewer's behavior, text similarity, linguistics features and reviewing frequencies and meta-data of review. This paper has been divided into seven sections: First about Introduction second about types of Spam third about different fields for analysis fourth about different techniques fifth about measures taken by online stores to handle with spam sixth about future scope finally conclusion.