Automatic classification of E‐mail messages by message type

Andrew D. May

Journal of the American Society for Information Science, 1997, vol. 48, issue 1, 32-39

Abstract: This article describes a system that automatically classifies E‐mail messages in the HUMANIST electronic discussion group into one of four classes, Question, Response, Announcement, or Administrative. A total of 1,372 messages were analyzed. The automatic classification of a message was based on string matching between a message text and predefined string sets for each of the message types. The system's automated ability to accurately classify a message was compared against manually assigned codes. The Cohen's Kappa of .55 suggested that there was a statistical agreement between the automatic and manually assigned codes.

Date: 1997
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https://doi.org/10.1002/(SICI)1097-4571(199701)48:13.0.CO;2-2

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:48:y:1997:i:1:p:32-39

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