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

DOI:

https://doi.org/10.1609/aaai.v34i10.7146

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.

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Published

2020-04-03

How to Cite

Anand, G., Gautam, A., Mathur, P., Mahata, D., Shah, R. R., & Sawhney, R. (2020). An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13749-13750. https://doi.org/10.1609/aaai.v34i10.7146

Issue

Section

Student Abstract Track