Finding out the needy one from Tweets : An analysis using #kerelafloods

R. Ranjan, H. Sarma, Navanath Saharia
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引用次数: 1

Abstract

Natural disasters are difficult to predict and when it happens it is very difficult for government and other agencies to get the information about the effected people or properties. To save the life and properties first step to know where it happens and what is the current scenario of that place. To get these information social media plays a key role. In this article, we explores a detailed overview on Kerala flood situation which happened in late July 2018, severe flooding affected the Kerala very badly. In this article, we proposed a system to detection of real-time help needed to people based on different tweets related to Kerala flood. This article provided a complete detailed overview on the situation in Kerala and collects needed information through tweets as twitter is one of the best way of spreading awareness about the worsening situation in Kerala. To alleviate this problem, tweets, which are largely available,can be exploited to extract the required data.
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从推特中找出需要帮助的人:使用#kerelafloods进行分析
自然灾害很难预测,当它发生时,政府和其他机构很难获得有关受灾人员或财产的信息。要想挽救生命和财产,第一步就是要知道事故发生的地点和现场的情况。为了获得这些信息,社交媒体起着关键作用。在本文中,我们详细介绍了2018年7月下旬发生的喀拉拉邦洪水情况,严重的洪水对喀拉拉邦造成了非常严重的影响。在本文中,我们提出了一个基于与喀拉拉邦洪水相关的不同推文来检测人们需要实时帮助的系统。这篇文章对喀拉拉邦的情况提供了一个完整详细的概述,并通过推特收集了所需的信息,因为推特是传播喀拉拉邦日益恶化的情况的最好方式之一。为了缓解这个问题,可以利用大量可用的tweet来提取所需的数据。
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