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A Deep Learning Tool to Bridge the Situational Awareness Gap in Disaster Management
Kelvin Kinda Chumbe African Leadership Univerisity Department 2021
Abstract
This project explores using Twitter as a source of disaster-related information. It uses a Machine Learning pipeline to extract key information from tweets and a web-based application to deploy trained models.
Metadata
Author Kelvin Kinda Chumbe
Supervisor Tatenda Duncan
Faculty COMPUTER SCIENCE
Department Not listed
Document type Final Year Project
Year 2021
Keywords Social Media, Situational Awareness, Disaster, Disaster Management, Machine Learning, Pipeline, Crowdmap
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