The design and validation of an automatic email clustering system based on semantics

Everybody has at least one email address nowadays. We keep in touch with family, friends, business partners by email. We receive news, notifications and advertisements by email. We subscribe to different newsletters that we also receive by email. But don't you hate it when your inbox gets all c...

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Bibliographic Details
Published in2011 IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems Vol. 2; pp. 629 - 632
Main Authors Cernian, A. S., Florea, I., Carstoiu, D., Sgarciu, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Clustering algorithms
clustering by compression
Compression algorithms
Electronic mail
emails
Engines
FScore
normalized compression distance
Power capacitors
Semantics
Text processing
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Summary:Everybody has at least one email address nowadays. We keep in touch with family, friends, business partners by email. We receive news, notifications and advertisements by email. We subscribe to different newsletters that we also receive by email. But don't you hate it when your inbox gets all crowded with messages and you're having trouble finding exactly the one email you need? We all hate those moments. Common email clients allow us to sort emails by date, by sender or even by subject. But that is not always enough. This paper proposes the design and validation of an automatic system for clustering email messages based on semantic meaning. Our system is based on the clustering by compression technique, which has proven its capabilities during previous tests.
ISBN:1457714264
9781457714269
DOI:10.1109/IDAACS.2011.6072844