A Machine Learning Based Model for Classification of Customer Service’s Email

Author:

Akhtar Javed,Nafis Md Tabrez,Rahman Nafisur,Urooj Aksa

Publisher

Springer Nature Singapore

Reference15 articles.

1. Mujtaba GAG (2017) Email classification research trends: review and open issues. IEEE Access 5:9044–9064. https://doi.org/10.1109/ACCESS.2017.2702187

2. R. Team (2015) Email statistics report, 2015–2019. The Radicati Group, Inc., Palo Alto, CA, USA

3. Brutlag JD, Meek C (2000) ‘Challenges of the email domain for text classification. In: Proceedings of ICML, pp 103–110

4. Stich J-FT (2019) E-mail load, workload stress and desired e-mail load: a cybernetic approach. Emerald Insight 32:430–452. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/ITP-10-2017-0321/full/html

5. Brutlag JD (2000) Challenges of the email domain for text classification, pp 103–110. Retrieved from https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/AF1-1.pdf

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