Spam Classification using SVM

With hundreds of messages coming daily to an average inbox, it is imperative to find which messages are spam and can potentially harm the user. I have looked into the messages, extracted relevant information from the content and trained a Support Vector Machine (SVM) with a linear Kernel on it. Using these parameters, I have attained an accuracy of ~94.7%