z-logo
open-access-imgOpen Access
Event Extraction from Emails
Author(s) -
Anupama M. Nair,
Anusha Aji Justus,
Arjun Ramesh,
Binu Rajan M. R.
Publication year - 2020
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2020920526
Subject(s) - computer science , event (particle physics) , extraction (chemistry) , world wide web , information retrieval , chromatography , chemistry , physics , quantum mechanics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom