Email classification and summarization: a machine learning approach

Taiwo Ayodele; Rinat Khusainov; David Ndzi

doi:10.1049/cp:20070271

Email classification and summarization: a machine learning approach

Taiwo Ayodele, Rinat Khusainov, David Ndzi

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 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 language	English
Title of host publication	IET Conference on Wireless, Mobile and Sensor Networks 2007
Publisher	IET Conference Publications
Pages	805-808
Number of pages	4
ISBN (Print)	9780863418365
DOIs	https://doi.org/10.1049/cp:20070271
Publication status	Published - 12 Dec 2007
Externally published	Yes
Event	IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07) - Shanghai, China Duration: 12 Dec 2007 → 14 Dec 2007

Conference

Conference	IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07)
Abbreviated title	CCWMSN07
Country/Territory	China
City	Shanghai
Period	12/12/07 → 14/12/07

Access to Document

10.1049/cp:20070271

Cite this

@inproceedings{2d78dec6e7064d20b9de96f9361118e9,

title = "Email classification and summarization: a machine learning approach",

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.",

author = "Taiwo Ayodele and Rinat Khusainov and David Ndzi",

year = "2007",

month = dec,

day = "12",

doi = "10.1049/cp:20070271",

language = "English",

isbn = "9780863418365",

pages = "805--808",

booktitle = "IET Conference on Wireless, Mobile and Sensor Networks 2007",

publisher = "IET Conference Publications",

note = "IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07), CCWMSN07 ; Conference date: 12-12-2007 Through 14-12-2007",

}

TY - GEN

T1 - Email classification and summarization: a machine learning approach

AU - Ayodele, Taiwo

AU - Khusainov, Rinat

AU - Ndzi, David

PY - 2007/12/12

Y1 - 2007/12/12

N2 - 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.

AB - 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.

U2 - 10.1049/cp:20070271

DO - 10.1049/cp:20070271

M3 - Conference contribution

SN - 9780863418365

SP - 805

EP - 808

BT - IET Conference on Wireless, Mobile and Sensor Networks 2007

PB - IET Conference Publications

T2 - IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07)

Y2 - 12 December 2007 through 14 December 2007

ER -