Informing Disasters Management by Using Twitter tweets

Abstract

Abstract: Recently social media plays a major role and providing information during disasters. This paper mainly focuses on how people used social media, especially Twitter, in response to the country's worst flood, Earthquake that had occurred recently. And these tweets collecting analyzed using machine learning algorithms such as Naïve Bayes, Random Forests, Decision Tree, sentiment Analysis .during the disaster social media provides a surplus of information which includes information about the natural disaster, affected people's emotions, and relief efforts. And collect the tweets relating to disasters and build the sentimental classifier to categorize the user’s emotions during disaster based on various distress levels. Various analysis techniques are applied in collecting tweets. Keywords: Twitter Analysis, Sentiment Analysis, Random Forests, Naive Bayes, Decision Tree.