Email Spam Classification Using Support Vector Machine Algorithm
Dhanendra Kumar Dewangan · International Journal for Research in Applied Science and Engineering Technology · 2018
In the present life, internet is a vital part. We invest the vast majority of our time on internet. One of the vital features of internet is communication. Email is a method of correspondence which is utilized for the individual as well as business reason. Spam emails are the emails beneficiary does not wish to take conveyance of; it is moreover called unwanted bulk email. Emails are utilized every day by number of user to speak worldwide. At present vast volumes of spam emails are reasoning genuine inconvenience for Internet user and Internet service. For example, it degrade user examine knowledge, it helps transmission of virus in network, it expands stack on arrange movement. It additionally misuses user time, and vitality for legitimate emails among the spam. Hence, there is a requirement of spam detection so that its result can be reduced. In this paper, propose a novel technique for email spam detection using SVM and feature extraction which achieves accuracy of 98% with the test datasets.