Abstract
In 21st century, email is one of the most effective ways of written communication due to its easy and quick access. But now days with each individual receiving large number of emails, mostly promotional and unnecessary mails, organization of emails in individual’s inbox is a tedious task to do. In last decade, researchers and scientific community have contributed lot for organization of individual’s inbox by classifying the emails into different categories. In this paper, we propose an intelligent mail box where email classification has been carried out on the basis of labels created by users and needs few training mails for future classification. Hence it provides more personalized mail box to the user. The proposed system has been tested with various classifiers, viz. Support Vector Machine, Naïve Bayes, etc. and obtained the highest classification accuracy (66–100 %) with Naïve Bayes.
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Sethi, H., Sirohi, A., Thakur, M.K. (2016). Intelligent Mail Box. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_44
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DOI: https://doi.org/10.1007/978-81-322-2757-1_44
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