Email grouping and summarization: an unsupervised learning technique

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    Abstract

    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
    Country/TerritoryUnited States
    Period31/03/092/04/09

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