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Research Work: Gupta, D.K. and Goyal, S., 2018. Email Classification into Relevant Category Using Neural Networks. arXiv preprint arXiv:1802.03971.

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Email-Classification-NNs

In the real world, many online shopping websites or service provider

have single email-id where customers can send their query, concern etc. At the back-end service provider receive million of emails every week, how they can identify which email is belonged of a particular department? This paper presents an artificial neural network (ANN) model that is used to solve this problem and experiments are carried out on user personal Gmail emails datasets. This problem can be generalised as typical Text Classification or Categorization [8].

Keywords: Artificial Neural Network, Email Classification, Natural Computing, Text Categorization

Paper Link: https://arxiv.org/pdf/1802.03971.pdf Cite as:

Title: Email Classification into Relevant Category Using Neural Networks Authors: Gupta, Deepak Kumar; Goyal, Shruti Publication: eprint arXiv:1802.03971 Publication Date: 02/2018 Origin: ARXIV Keywords: Computer Science - Learning, Computer Science - Information Retrieval, 92B20, K.3 Comment: 9 Pages, 6 figures, 2 Tables Bibliographic Code: 2018arXiv180203971G

Gupta, D.K. and Goyal, S., 2018. Email Classification into Relevant Category Using Neural Networks. arXiv preprint arXiv:1802.03971.

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Research Work: Gupta, D.K. and Goyal, S., 2018. Email Classification into Relevant Category Using Neural Networks. arXiv preprint arXiv:1802.03971.

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