Email classification and summarization: A machine learning approach

This paper presents the design and implementation of a system to group and summarize email messages. The system uses the subject and content of email messages to classify emails based on users´ activities and generate summaries of each incoming message with unsupervised learning approach. Our framework solves the problem of email overload, congestion, difficulties in prioritizing and difficulties in finding previously archived messages in the mail box.