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Smart Email Notifier Using Supervised Learning

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  • Amey Bahulkar
  • Denny Sam
  • S. S. Pawar

Abstract

Communication via email is surely the most common and important aspect of a professional life and oftentimes our inbox is inundated with worthless emails. Various studies have shown that interruptions due to email usage have a negative impact on productivity thus there is a strong need of an intelligent system that could notify the user only when an important email arrives so This paper focuses on the applicability of machine learning to answer a simple question: is an incoming email worthy enough of user's time? To answer this question we have used two ML models namely, Multinominal Naive Bayes and Support Vector Machines. In addition, this project aims to use the learned models to build a real-time email notifier software that will estimate whether a received email is worth notifying the user.

Suggested Citation

  • Amey Bahulkar & Denny Sam & S. S. Pawar, 2017. "Smart Email Notifier Using Supervised Learning," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pages 642-645, June.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit1723210
    Note: Article URL: https://ijsrcseit.com/CSEIT1723210
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