• Farooq Sunar Mahammad
• V. Uday Kumar
• Y. Tharun Kumar Reddy
• J. Sri Hari
• S. Viswanath Goud

Today in all over the world using social media to varies purpose. Some people are post their situation in real time. Posts are different types in this paper mainly focused on crisis. Crisis are having some important in real-time. Hence, we proposed a novel that takes only the Crisis from the social media. AOMPC algorithm that takes the data from the social media and that divides data into irrelevant and relevant data based on the Crisis words. AOMPC algorithm performs on labeled and unlabeled data. AOMPC takes the two types of data (1) Synthetic data and (2) Social Media data. The experiments showed very good behavior of AOMPC for dealing with evolving, partly-labeled data streams.

AOMPC, Crisis, Synthetic data, Social Media.

"An Approach for Identifying Crisis on Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.1320-1324, December-2018, Available :http://www.jetir.org/papers/JETIR1812D88.pdf

"An Approach for Identifying Crisis on Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp1320-1324, December-2018, Available at : http://www.jetir.org/papers/JETIR1812D88.pdf