• Navyashree s
• A .V. Krishna Mohan

Geosocial network information can be aided as a boon for the government to make real-time decisions and future planning for the event happens of the real world like The user can able to take decisions for the real time subsequently analyzing the information straightway for the future which are the areas that will be concerned by the particular events. Thereby, in this project, a system framework is proffered that processes rich quantity of diversified social network data to supervise phenomenon, Earth events, medical morbidities etc by reaping data as well as user’s location information in a secure manner. Twitter is examined using the proposed framework to identify the events like Earth quake, Bomb blast, Fire etc. Hadoop ecosystem is used to analyse big data propagating from the various sensor. ECC algorithm is applied to secure the sensor data.

Geosocial Network, Big Data, Hadoop, Map Reduce, ECC

"BIG DATA ANALYSIS ON TWITTER USING HADOOP AND MAPREDUCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.99-107, May-2019, Available :http://www.jetir.org/papers/JETIR1905O15.pdf

"BIG DATA ANALYSIS ON TWITTER USING HADOOP AND MAPREDUCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp99-107, May-2019, Available at : http://www.jetir.org/papers/JETIR1905O15.pdf