论文标题
人们如何描述自然灾害期间的位置：对哈维飓风的推文的分析
How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey
论文作者
论文摘要
在自然灾害期间，人们越来越多地使用社交媒体平台来分享信息并要求帮助。哈维飓风是2017年8月摧毁美国德克萨斯州休斯顿的4级飓风，并在休斯顿大都会地区造成了灾难性的洪水。哈维飓风还目睹了公众对这一重大灾难的广泛使用，地理位置是许多社交媒体信息中描述的关键信息文章。可以利用地理系统或地理阶段的系统自动提取和定位所描述的位置，这可以帮助急救人员吸引有需要的人。虽然已经开发了许多地理训练者，但尚不清楚他们在自然灾害期间所描述的位置识别和稳定地理位置。为了填补这一空白，这项工作旨在通过分析哈维飓风期间发布的推文样本来了解人们如何描述自然灾害期间的位置。然后，我们在处理这些推文中确定现有地理赛车的局限性，并讨论克服这些局限性的可能方法。
Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help. Hurricane Harvey was a category 4 hurricane that devastated Houston, Texas, USA in August 2017 and caused catastrophic flooding in the Houston metropolitan area. Hurricane Harvey also witnessed the widespread use of social media by the general public in response to this major disaster, and geographic locations are key information pieces described in many of the social media messages. A geoparsing system, or a geoparser, can be utilized to automatically extract and locate the described locations, which can help first responders reach the people in need. While a number of geoparsers have already been developed, it is unclear how effective they are in recognizing and geo-locating the locations described by people during natural disasters. To fill this gap, this work seeks to understand how people describe locations during a natural disaster by analyzing a sample of tweets posted during Hurricane Harvey. We then identify the limitations of existing geoparsers in processing these tweets, and discuss possible approaches to overcoming these limitations.
