• Poonam D. Walhekar
• Prof. Nagaraju Bogiri

We investigate the real-time interaction of events such as earthquakes in Twitter and propose an algorithm to monitor tweets and to detect a target event. To detect a target event, we devise a classifier of tweets based on features such as the keywords in a tweet, the number of words, and their context. We develop an earthquake reporting system for use for users. Our system detects earthquakes promptly and notification is delivered much faster to all connected user. Here we use the Navies Bayes mining algorithm for analysis of users twits if any emergency situation, if any emergency then we also generates the alert system to the all connected users.

"Tweet Analysis for Earthquake Reporting System Development using Naive Bayes Algorithm.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.724-727, January-2019, Available :http://www.jetir.org/papers/JETIR1901087.pdf

"Tweet Analysis for Earthquake Reporting System Development using Naive Bayes Algorithm.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp724-727, January-2019, Available at : http://www.jetir.org/papers/JETIR1901087.pdf