Spam Mail Detection Using Artificial Neural Network

Today e-mail is the most popular and financially cheapest way of communication for internet users..e-mail is going to be misused due to its popularity. One such misuse is the posting of money offering message, unwanted e-mails known as spam or junk e-mails. E-mail spam has various consequences like productivity is reduced, takes extra memory space in mail boxes, extra time for suffering, software damaging viruses, and materials that have potentially harmful information for Internet users, destroy stability of mail on servers, resulting users to spend lots of time for sorting incoming mail and deleting unwanted correspondence mails. So there is a need of spam detection system so that its consequences can be reduced. In this project our prime aim is to detect text as well as image based spam to achieve the objective we applied ANN algorithm , Pre-processing of email text before executing the algorithms is used to make them predict better .We uses Enron corpus's dataset of spam emails.