Chinese Spam Filtering Based on N-gram and SVM
Xia Cheng-feng · Journal of Guangdong Radio & Television University · 2008
Character expression and text categorization arithmetic are very important in the spam filtering based on content.N-gram is used to express character and Support Vector Machines(SVM) is used as classification algorithm;artificial neural network(ANN) is chosen as the contract,and different sizes of training set and testing set is used to test the results of SVM and ANN classifications.The effects of size training set and testing set are also observed.