@article{Anand_Gautam_Mathur_Mahata_Shah_Sawhney_2020, title={An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)}, volume={34}, url={https://ojs.aaai.org/index.php/AAAI/article/view/7146}, DOI={10.1609/aaai.v34i10.7146}, abstractNote={<p>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<sup>1</sup>.</p>}, number={10}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Anand, Gyanesh and Gautam, Akash and Mathur, Puneet and Mahata, Debanjan and Shah, Rajiv Ratn and Sawhney, Ramit}, year={2020}, month={Apr.}, pages={13749-13750} }