抽象的な

Survey Paper on Effective Email Classification into Spam and Non-Spam Mails

Ankita Mohite, Rupali Lokam, Simeen Wasta, Pooja Chikane, Snehal Mangale

Emails are used by number of users for educational purpose or professional purpose. But the spam mails causes serious problem for email users likes wasting of user?s energy and wasting of searching time of users. This paper present as survey paper based on some popular classification technique to identify whether an email is spam and non-spam. For representing spam mails ,we use vector space model(VSM). Since there are so many different word in emails, and all classifier can not be handle such a high dimension ,only few powerful classification terms should be used. Other reason is that some of the terms may not have any standard meaning which may create confusion for classifier.