Email classification and summarization: a machine learning approach

Taiwo Ayodele*, Rinat Khusainov, David Ndzi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationIET Conference on Wireless, Mobile and Sensor Networks 2007, CCWMSN'07
PublisherIET Conference Publications
Pages805-808
Number of pages4
Edition533 CP
ISBN (Print)9780863418365
DOIs
Publication statusPublished - 12 Dec 2007
EventIET Conference on Wireless, Mobile and Sensor Networks 2007 - Shanghai, China
Duration: 12 Dec 200714 Dec 2007

Publication series

NameIET Conference Publications
Number533 CP

Conference

ConferenceIET Conference on Wireless, Mobile and Sensor Networks 2007
Abbreviated titleCCWMSN'07
Country/TerritoryChina
CityShanghai
Period12/12/0714/12/07

Keywords

  • activities
  • algorithms
  • classification
  • email
  • email summarization

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