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Disaster Management using Text Mining from Twitter

Overview

This projects aims at extracting vital information from Twitter related to natural disasters in real-time. This can be achieved by following the given pipeline :

Goals and Motivations

Specifications

Since Twitter API and AZURE’s cloud support allow only limited number of tweets, we plan to use open source datasets available on CRISIS NLP. The available datasets are already annotated and have classified tweets (disaster and others). We expect to get output summary using this data in batches to try and simulate a real time tweet stream.