A Spam Filtering Method Based on Multi-modal Feature Fusion
Chun‐Ping Chen · Journal of Beijing Electronic Science and Technology Institute · 2011
In recent years,for escaping the text-based spam filtering detection system,the spammers insert junk information into the image and attach it to the message body.In order to deal with such spam that contains text and images,a new filtering method is proposed,which fuses text,image and other multi-modal features by extracting the text features and image features to build multiple classifiers,and by employing multiple classifier fusion technology to integrate the output of each classifier.The experimental result on TREC dataset show that the fusion method achieves a better result than that of a single classifier and can achieve over 90% in accuracy rate.