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

Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney

AAAI 2020 pp. 13749-13750

doi:10.1609/AAAI.V34I10.7146 /aaai/2020/anand2020aaai-iterative/

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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Cite

Text

Anand et al. "An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I10.7146

Markdown

[Anand et al. "An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/anand2020aaai-iterative/) doi:10.1609/AAAI.V34I10.7146

BibTeX

@inproceedings{anand2020aaai-iterative,
  title     = {{An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)}},
  author    = {Anand, Gyanesh and Gautam, Akash Kumar and Mathur, Puneet and Mahata, Debanjan and Shah, Rajiv Ratn and Sawhney, Ramit},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13749-13750},
  doi       = {10.1609/AAAI.V34I10.7146},
  url       = {https://mlanthology.org/aaai/2020/anand2020aaai-iterative/}
}