IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING

April 2022
Vol-8, Issue-2
Paper ID: 16302
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Disaster Management Tweet Classifier Neural Architecture Natural Language Processing.
Abstract
The most common tool used during disasters is social media. All the people post tweets, posts and filmland on social media showing their support for disaster victims. Crisis Management as a subject basically deals with the operation of coffers and information as far as a disastrous event is concerned and also how effectively and seamlessly one coordinates these coffers. Crisis operation, at the individual and organizational position, deals with issues of planning, coordinating, communication, and threat operation. As the association and operation of coffers and liabilities for dealing with all the philanthropic aspects of extremities, in particular preparedness, response, and recovery to reduce the impact of crisis. Equally important is the knowledge about colourful transnational and public agencies involved in Crisis relief and philanthropic backing. Effectiveness of any tool is understood during the time, when it's utmost demanded, and social media is that tool if used duly can help numerous people during disasters. It contains numerous useful information to help victims during disasters including their position, needs and demands which can be passed on to disaster operation authority to escalate the process of disaster relief.

Author Information

# Name Institute / Affiliation
1 Nikhil Bhivgade Priyadarshini JL College of Engineering
2 Shubham Ganatra Priyadarshini JL College of Engineering
3 Tushar Giradkar Priyadarshini JL College of Engineering
4 Rahul Gajbhiye Priyadarshini JL College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Bhivgade, Nikhil, Ganatra, Shubham, Giradkar, Tushar, & Gajbhiye, Rahul (2022). IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 1072-1080.
MLA Style
Bhivgade, Nikhil, et al. "IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 1072-1080.
IEEE Style
Nikhil Bhivgade, Shubham Ganatra, Tushar Giradkar, and Rahul Gajbhiye, "IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 1072-1080, 2022.
Vancouver Style
Bhivgade Nikhil, Ganatra Shubham, Giradkar Tushar, Gajbhiye Rahul. IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):1072-1080.
Harvard Style
Bhivgade, Nikhil, Ganatra, Shubham, Giradkar, Tushar, & Gajbhiye, Rahul (2022) 'IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 1072-1080.
Chicago Style
Bhivgade, Nikhil, et al. "IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1072-1080.
Turabian Style
Bhivgade, Nikhil, et al. "IMPROVING THE EFFICIENCY OF REAL TIME CRISIS MANAGEMENT USING DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1072-1080.

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