Ensemble of Multiple Kernel SVM Classifiers for Detection of Online Spam Reviews

Abstract

The Social web contains enormous content, in which higher range of online users believe the Online Reviews for their decision making before any online purchase or using services. The online reviews written are all not true. Some of the Reviews are Spam for many reasons. Data Mining Classification provides good solution to find the Review as Spam or Ham. SVM(Support Vector Machines) classifier is the most frequently used classifier. There are proven record of achieving high performance through SVM Classifier during classification of all kinds of data especially text data for binary classification. Ensemble of Multiple Kernels such as SVM-Polynomial, SVM-Linear, SVM-Sigmoid, SVM-RBF(Radial Basis Function) of SVM improves the classifiers performance in a significant way.