Real Time Nature Disasters of Data Analysis Using Tweet

Twitter is an online social network in which the people can share the real time activity. Here, we discuss the real-time interaction of events such as Weather Forecasting report in Twitter and propose a method to monitor tweets. To finding an event, there are two methods tweets based classifier such as the tweet keywords, and their context. For that, we implement a probabilistic spatiotemporal model for the target event that can find the information and location of the event. We apply particle filtering and twitter uses as a sensor, which are widely used for location estimation. For estimating the location particle filter methods are used. As an application, we develop a weather reporting system for use in Tamil Nadu to know the weather throughout the country. We can detect information about the cyclone with high probability. Our system identifies the information about the weather and detects the information about cyclone and change in the climate and notification is delivered much faster to the register user than other broadcast announcements.