A social media-based dataset of typhoon disasters, 2017

• 作者: Yang Tengfei Xie Jibo Li Guoqing
• 来源期刊: 中国科学数据
• 年，卷（期）: 2018,（2）
• 所属期刊栏目: 减灾研究历史数据集专题
• 页码范围: 51-61
• 页数: 11页
• 语种: 中文
• DOI: 10.11922/scdata.2017.0014.en

摘要

Typhoons are a category of natural disasters whose annual occurrence causes major life and property loss in the Northwestern Pacific region.During typhoon events, social media serve as an effective tool to transmit and acquire disaster information in real time. Texts and photos from social media can be used as a way of crowd sourcing to extract disaster loss information, analyze human behaviors and formulate responses. The dataset presented here consists of social media-based data collected from "Sina-Weibo" microblogs, "WeChat" articles, and "Baidu" news about the typhoon events in 2017, covering Typhoon "Merbok", "Roke", "Khanun", "Haitang","Mawar", "Hato", "Nesat" and "Pakhar". We mainly collected text data from these social media platforms and websites, which were then cleaned for redundancy and irrelevance. This dataset can be used for deeper disaster information mining of typhoon events.