Email Grouping and Summarization: An Unsupervised Learning Technique

This paper presents the design and implementation of a system to group and summarize email messages. The system exploits the subject and content of email messages to classify emails based on userspsila activities and auto generate summaries of each incoming messages. Our framework solves the problem of email overload, congestion, difficulties in prioritizing and successfully processing of contents of new incoming messages and difficulties in finding previously archived messages in the mail box by providing a system that groups emails based on userspsila activities, and providing summaries of emails.