DefinePK

Abstract

Providing the timely help to the affected victim is paramount important for any disaster like earth quake, landslides, tsunami etc. In Disaster Emergency Management requires an effective alert message in disaster. In the existing implementation, the alert was improper about the earthquake and delaying rescue process for saving the people. In the proposed system investigate the online chat based on user tweets. The server needs to learn the user tweets by using of vector machine learning algorithm and classify the user tweets by using Naive Bayes classifier and it’s separating positive and negative tweets. The location and disaster is extracted by using Stemming algorithm and also removing unwanted words from user tweets. The system crossed Maximum occurrence of particular keyword like Tsunami along with particular time and a particular location. Automatically system will send the emergency alert to the registered users as well as Nearest Rescue Team through both SMS and E-mail.