Using Social Media Trends to Provide Disaster Early Warning Systems and Disaster Assessment
Ch. Chakradhara Rao1, B. Meena2, K. Pavan Kumar3
1Ch. Chakradhara Rao*, CSE Department, Raghu Engineering College, Visakhapatnam, India.
2B. Meena, CSE department, Raghu Engineering College, Visakhapatnam, India.
3K. Pavan Kumar, CSE Department, Raghu Engineering College, Visakhapatnam, India.
Manuscript received on September 19, 2019. | Revised Manuscript received on 29 September, 2019. | Manuscript published on October 10, 2019. | PP: 4510-4516 | Volume-8 Issue-12, October 2019. | Retrieval Number: L35361081219/2019©BEIESP | DOI: 10.35940/ijitee.L3536.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Tremors, floods, dry season, and other normal perils cause billions of dollars in monetary misfortunes every year around the globe. A huge number of dollars in philanthropic help, crisis credits, and advancement help are consumed every year. However endeavors to lessen the dangers of normal perils remain generally ungraceful crosswise over various risk types and don’t really concentrate on regions at most astounding danger of debacle. Informal communities are assuming an undeniably significant job as early cautioning frameworks, supporting with quick debacle appraisal and post-fiasco recuperation. There is a requirement for both the general population and fiasco help offices to all the more likely see how web based life can be used to survey and react to catastrophic events. This work directs a various leveled multistage investigation dependent on numerous information assets, consolidating internet based life information and monetary misfortunes. This work attracts regard for the way that during a catastrophe, residents go to internet based life and most of tweets contain data about the tropical storm as well as its contact with negative estimation. This paper researches whether the mix of web based life and geo-area data can add to an increasingly proficient early cautioning framework and help with calamity evaluation.
Keywords: Social Media, Geo-location Information, Disaster Early Warning, Disaster Assessment, Cyclones
Scope of the Article: Disaster Management