An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms
Computation and Language
2020-06-19 v2 Social and Information Networks
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 purposes.
Cite
@article{arxiv.2001.09215,
title = {An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms},
author = {Gyanesh Anand and Akash Gautam and Puneet Mathur and Debanjan Mahata and Rajiv Ratn Shah and Ramit Sawhney},
journal= {arXiv preprint arXiv:2001.09215},
year = {2020}
}
Comments
Preprint of paper accepted at AAAI, student abstract 2020