Social media plays a significant role within the propagation of information throughout disasters. This paper essentially contains an investigation identifying with anyway people of Chennai utilized Social media especially Twitter, in light of the nation`s most exceedingly awful flood that had happened recently. The tweets are collected & analysed by various machine learning algorithms like Random Forests, Naive Bayes and call Tree. By comparison the performances of all the three, it had been found that Random Forests is that the best algorithmic rule that may be relied on, throughout a disaster. This paper conjointly targeted the sources of the Twitter messages to explore the foremost influential users of Chennai flood.

Random Forests, Naive Bayes, call Tree

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