An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms

2020/01/24 by Gyanesh Anand, Anand, Gyanesh, Akash Kumar Gautam +10
Computer Science · Social Sciences · #Computation and Language (cs.CL) #Cybercrime and Law Enforcement Studies #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Privacy, Security, and Data Protection #Social and Information Networks (cs.SI) #cs.CL #cs.SI

paper · pdf · doi:10.48550/arxiv.2001.09215

Preprint of paper accepted at AAAI, student abstract 2020

openalex publication_date 2020/01/24 · arxiv created 2020/06/17 · arxiv updated 2020/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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