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

Autor:	Anand, Gyanesh, Gautam, Akash, Mathur, Puneet, Mahata, Debanjan, Shah, Rajiv Ratn, Sawhney, Ramit
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language Computer Science - Social and Information Networks
Druh dokumentu:	Working Paper
Popis:	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. Comment: Preprint of paper accepted at AAAI, student abstract 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2001.09215 Zobrazit plný text záznamu View this record from Arxiv