Social networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The ubiquitousness of smartphones enables people to announce an emergency they are observing in real-time. Because of this, more agencies are interested in programmatically monitoring Twitter (i.e. disaster relief organizations and news agencies). Design a language model that is able to understand and acknowledge when a disaster is happening based on the social network posts will become more and more necessary over time.
翻译:社会网络服务在紧急情况下已成为一个重要的通信渠道,其目的是建立一个机器学习语言模式,能够调查一个人或一个地区是否处于危险之中。智能手机的无处不在使得人们能够宣布他们实时观察的紧急情况。因此,更多的机构有兴趣在方案上监测Twitter(即救灾组织和新闻机构)。设计一种语言模式,能够在灾害发生时根据社会网络的站点理解和确认。随着时间的推移,越来越有必要根据社会网络的站点,设计一种能够理解和识别灾害发生的语言模式。