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Usage and analysis of Twitter during 2015 Chennai flood towards disaster management

机译:Twitter在2015年金奈(Chennai)洪水灾害管理中的使用和分析

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Social media plays a major role in the propagation of information during disasters. This paper mainly contains a study regarding how people of Chennai used social media especially twitter, in response to the country’s worst flood that had occurred recently. The tweets collected were analysed using machine learning algorithms such as Random Forests, Naive Bayes and Decision Tree. By comparing the performances of all the three it was found that Random Forests is the best algorithm that can be relied on, during a disaster. This paper also targeted the sources of the Twitter messages to explore the most influential users of Chennai flood.
机译:社交媒体在灾难期间传播信息方面起着重要作用。本文主要包含有关金奈人如何使用社交媒体(特别是Twitter)的研究,以应对最近发生的该国最严重的洪灾。使用诸如随机森林,朴素贝叶斯和决策树之类的机器学习算法分析收集的推文。通过比较这三种算法的性能,发现在灾难期间,随机森林是可以依靠的最佳算法。本文还针对Twitter消息的来源,以探索金奈洪水最有影响力的用户。

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