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ISBN: 978-0-7695-3507-4
pp: 575-579
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 users’ 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 users’ activities, and providing summaries of emails.
Email grouping, email messages, unsupervised learning, frequent words, email summarization, email groupings
Taiwo Ayodele, Shikun Zhou, Rinat Khusainov, "Email Grouping and Summarization: An Unsupervised Learning Technique", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 575-579, doi:10.1109/CSIE.2009.298
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