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

• URL: http://arxiv.org/abs/2001.09215v2
• Date: Wed, 17 Jun 2020 20:36:01 GMT
• Title: An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms
• Authors: Gyanesh Anand, Akash Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney
• Abstract summary: 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.
• Score: 76.9570531352697
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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