Classification of Unstructured Data Using Machine Learning Algorithm

Abstract Email is an essential thing in today's era, as emails are main source of communication. Emails are used on personal and corporate levels. Emails are used by number of people to interact between each other. Many email users receives legitimate emails and also unwanted emails. It becomes necessary to classify legitimate emails (HAM) from unwanted emails (SPAM). There are many Machine learning techniques now a day's used to automatically filter the spam e-mail. This paper proposes and reviews the classification technique. The purpose of proposed algorithm is to automatically classify mails into spam and legitimate message. The algorithm used for classification is support vector machine. The mails are classified on the basis of email text. The proposed algorithm is effective and reasonable method for email classification.