Smart Email Notifier Using Supervised Learning

Authors(3) :-Amey Bahulkar, Denny Sam, S. S. Pawar

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.

Authors and Affiliations

Amey Bahulkar
Sinhgad Academy of Engineering, Kondhwa, Maharashtra, India
Denny Sam
Sinhgad Academy of Engineering, Kondhwa, Maharashtra, India
S. S. Pawar
Sinhgad Academy of Engineering, Kondhwa, Maharashtra, India

Supervised Learning, Naïve Bayes, Support Vector Machines, TF-IDF, python, .NET.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 642-645
Manuscript Number : CSEIT1723210
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Amey Bahulkar, Denny Sam, S. S. Pawar, "Smart Email Notifier Using Supervised Learning", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.642-645, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT1723210

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