ABSTRACT VIEW
CONTENT BASED CLUSTERING OF EMAILS
D. Sandhya Rani, G. Bala Krishna
Aurora's Scientific, Technological and Research Academy (INDIA)
In computer communication, it is common to send and receive messages among users for the purpose of correspondence, distributing information and responding to requests. One such method is electronic mail, also known as email. One problem that has arisen in the art is that some messages are unwanted. Moreover, it has become common for advertisers and other message senders to collect relatively large numbers of email addresses, and to send unsolicited advertising in bulk to recipients at those email addresses. When the number of such unsolicited bulk email messages is relatively large, it can take substantial time and effort for recipients to read them. There is also the possibility that the recipient will miss a relatively important message due to the relatively large number of unimportant messages accumulated in their mail box. Such unsolicited bulk email messages are often known by the colloquial term “spam,” and senders of such messages are often known as “spammers.”

This paper relates to dynamic message filtering, such as filtering incoming messages in response to their content; in one embodiment, messages can be delivered to their respective categories based on the content, which are predefined by the user in response to a result of dynamic filtering.

This paper provides a method and system capable of dynamically filtering incoming messages, with effect of classifying those messages into one of the categories predefined by the user: Jobs, Resume, Friends so on. The user is capable of defining their own category of messages. The application receives the filtered messages and redirects them based on the content to respective categories. Unlike in Yahoo Email client we are able to customize category but the Email can be moved to the respective category manually which is a tedious process for people who use Email for business purposes.