论文标题

一种迭代方法,用于在社交媒体平台上识别基于投诉的推文

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

论文作者

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

论文摘要

Twitter是一个社交媒体平台,用户在其中对各种问题发表意见。私人/公共组织可以利用提供申诉或投诉的职位来改善其服务,并迅速评估低成本评估。在本文中,我们提出了一种迭代方法,旨在确定与运输领域有关的基于投诉的帖子。我们进行全面的评估,并释放出一个新的数据集以进行研究。

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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