Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach

• Published in: International journal of information management data insights Vol. 3; no. 1; p. 100164
• Main Authors: Powers, Courtney J., Devaraj, Ashwin, Ashqeen, Kaab, Dontula, Aman, Joshi, Amit, Shenoy, Jayanth, Murthy, Dhiraj
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2023; Elsevier
• Subjects: Artificial intelligence; Computational methods; Crisis communication; Disaster; Machine learning; Supervised learning; Twitter; Computational methods; Supervised learning; Machine learning; Twitter; Disaster; Artificial intelligence; Crisis communication

•Curates a geographical-based dataset of tweets sent during Hurricane Harvey.•Presents a labeling scheme for relevance and urgency of tweets during a disaster.•Uses artificial intelligence and deep learning to identify calls for help on Twitter.•Develops machine-learning classifiers for signaling fi...