Email grouping and summarization: an unsupervised learning technique

Taiwo Ayodele; Shikun Zhou; Rinat Khusainov

doi:10.1109/CSIE.2009.298

Email grouping and summarization: an unsupervised learning technique

Taiwo Ayodele, Shikun Zhou, Rinat Khusainov

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2009 WRI World Congress on Computer Science and Information Engineering
Publisher	IEEE
Pages	575-579
Number of pages	5
ISBN (Print)	978-0-7695-3507-4
DOIs	https://doi.org/10.1109/CSIE.2009.298
Publication status	Published - 31 Mar 2009
Externally published	Yes
Event	WRI World Congress on Computer Science and Information Engineering - Los Angeles, United States Duration: 31 Mar 2009 → 2 Apr 2009

Conference

Conference	WRI World Congress on Computer Science and Information Engineering
Country/Territory	United States
City	Los Angeles
Period	31/03/09 → 2/04/09

Access to Document

10.1109/CSIE.2009.298

Cite this

@inproceedings{5643def8a4a44579a56eabf49e200ba1,

title = "Email grouping and summarization: an unsupervised learning technique",

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{\textquoteright} 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{\textquoteright} activities, and providing summaries of emails.",

author = "Taiwo Ayodele and Shikun Zhou and Rinat Khusainov",

year = "2009",

month = mar,

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doi = "10.1109/CSIE.2009.298",

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booktitle = "2009 WRI World Congress on Computer Science and Information Engineering",

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N2 - 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.

AB - 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.

U2 - 10.1109/CSIE.2009.298

DO - 10.1109/CSIE.2009.298

M3 - Conference contribution

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