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Email grouping and summarization: an unsupervised learning technique

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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.
Original languageEnglish
Title of host publication2009 Wri World congress on computer science and information engineering
Place of PublicationPiscataway
PublisherIEEE
Pages575-579
Number of pages5
Edition5
ISBN (Print)9780769535074
Publication statusPublished - 2009
EventWRI World Congress on Computer Science and Information Engineering - Los Angeles, CA, United States
Duration: 31 Mar 20092 Apr 2009

Publication series

NameWRI World Congress on Computer Science and Information Engineering
PublisherIEEE
Number5

Conference

ConferenceWRI World Congress on Computer Science and Information Engineering
CountryUnited States
Period31/03/092/04/09

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ID: 100149