Current Volume 8
Abstract
Social media's enormous data output offers a singular opportunity for disaster research. As a top social media network, Twitter produces more than 500 million Tweets daily. Twitter is increasingly used by authorities to track disaster situations and develop quick rescue plans due to its real-time capability. Building a precise predictive model to recognize disaster Tweets, which might not have enough context due to the length restriction, is difficult. Determining the optimal algorithm to drive a recommendation engine that will aid in real-time crisis occurrences for the purpose of delivering relief to the affected, gathering news, etc. will therefore be the goal of this project.
Citations
IRE Journals:
Gaurav Kanojia , Aditya Rastogi
"Disaster Tweets Classification" Iconic Research And Engineering Journals Volume 6 Issue 7 2023 Page 295-298
IEEE:
Gaurav Kanojia , Aditya Rastogi
"Disaster Tweets Classification" Iconic Research And Engineering Journals, 6(7)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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