CFP last date
20 June 2024
Reseach Article

Event Extraction from Emails

by Anupama M. Nair, Anusha Aji Justus, Arjun Ramesh, Binu Rajan M. R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 41
Year of Publication: 2020
Authors: Anupama M. Nair, Anusha Aji Justus, Arjun Ramesh, Binu Rajan M. R.

Anupama M. Nair, Anusha Aji Justus, Arjun Ramesh, Binu Rajan M. R. . Event Extraction from Emails. International Journal of Computer Applications. 176, 41 ( Jul 2020), 1-8. DOI=10.5120/ijca2020920526

@article{ 10.5120/ijca2020920526,
author = { Anupama M. Nair, Anusha Aji Justus, Arjun Ramesh, Binu Rajan M. R. },
title = { Event Extraction from Emails },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 41 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2020920526 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:41:00.464243+05:30
%A Anupama M. Nair
%A Anusha Aji Justus
%A Arjun Ramesh
%A Binu Rajan M. R.
%T Event Extraction from Emails
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 41
%P 1-8
%D 2020
%I Foundation of Computer Science (FCS), NY, USA

This is an era where people are too busy to check out their inbox. They swipe off notifications, not knowing they might miss something important. These could be anything like, personal messages asking whether you are free to meet up or reminders to events that you need to attend or some emails regarding interesting events that are happening around you. The need of the hour is an efficient way for keeping track of the important events from the vast number of incoming messages. This paper proposes a solution based on event extraction from emails. The scope of the project is limited to Gmail. The primary component is an android application that identifies event containing emails, extracts important details and provides an automated reminder system for the same depending on user needs. Various machine learning techniques along with natural language processing are used for the fulfillment for this project.

  1. Rita McCue. “A Comparison of the Accuracy of Support Vector Machine and Naive Bayes Algorithms In Spam Classification,” University of California at Santa Cruz, 2009
  2. Shashank Senapaty. “Detection and Extraction of Events from Emails,” Department of Computer Science, Stanford University, Stanford CA, December 12, 2008.
  3. Julie A. Black and Nisheeth Ranjan. “Automated Event Extraction from Email,” Stanford University, 2004.
  4. Ola Amayri, Nizar Bouguila. “A Study of Spam Filtering Using Support Vector Machines,” Artif. Intell. Rev.. 34. 73- 108. 10.1007/s10462-010-9166-x, 2010.
  5. Aneesh G. Nath, Krishnanth V, Kevin Biju Mathew, Pranav T S, Sarath Gopi. “NLP based Event Extraction from Text Messages,” International Conference on Future Technology in Engineering, 2016.
  6. Aswar Shreyas, Gaikwad Priyanka, Merlyn Pearl, Shinde Swapnal. “Event information extraction from email and updating event in calendar,” Vol-4 Issue-3 2018, IJARIIEISSN( O)-2395-4396.
  7. Eleni Partalidou, Eleftherios Spyromitros-Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras. “Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy,” IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2019
  8. Ashraf Q. Mahlawi, Sreela Sasi. “Structured Data Extraction from Emails,” International Conference on Networks Advances in Computational Technologies (NetACT), vol. 37, pp. 323-328, 2017.
  9. Michal Laclavk, Stefan Dlugolinsky, Martin Seleng, Marcel Kvassay, Emil Gatial, Zolt an Balogh, Ladislav Hluchy. “Email analysis and information extraction for enterprise benefit,” Computing and Informatics, Vol. 30, 2011
Index Terms

Computer Science
Information Sciences


Email Classification Event Extraction Machine Learning Named Entity Recognition Natural Language Processing