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An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)

Authors

Gyanesh Anand

MIDAS, IIIT-Delhi


Akash Gautam

MIDAS, IIIT-Delhi


Puneet Mathur

University of Maryland, College Park


Debanjan Mahata

Bloomberg


Rajiv Ratn Shah

MIDAS, IIIT-Delhi


Ramit Sawhney

Netaji Subhas Institute of Technology


Published:

2020-06-02

Proceedings:

Proceedings of the AAAI Conference on Artificial Intelligence, 34

Volume

Issue:

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks

Track:

Student Abstract Track

Downloads:

Download PDF

Abstract:

Twitter is a social media platform where users express opinions over a variety of issues. Posts offering grievances or complaints can be utilized by private/ public organizations to improve their service and promptly gauge a low-cost assessment. In this paper, we propose an iterative methodology which aims to identify complaint based posts pertaining to the transport domain. We perform comprehensive evaluations along with releasing a novel dataset for the research purposes1.

DOI:

10.1609/aaai.v34i10.7146


AAAI

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks


ISSN 2374-3468 (Online) ISSN 2159-5399 (Print) ISBN 978-1-57735-835-0 (10 issue set)


Published by AAAI Press, Palo Alto, California USA Copyright © 2020, Association for the Advancement of Artificial Intelligence All Rights Reserved