I-AID: Identifying Actionable Information From Disaster-Related Tweets

I-AID: Identifying Actionable Information From Disaster-Related Tweets

Social media plays a significant role in disaster management by providing valuable data about affected people, donations, and help requests. Recent studies highlight the need to filter information on social media into fine-grained content labels. However, identifying useful information from massive...

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Bibliographic Details
Main Authors: Hamada M. Zahera, Rricha Jalota, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Crisis information
contextualized text embedding
social media analysis
graph attention network
meta-learning
Online Access:https://ieeexplore.ieee.org/document/9522108/

Internet

https://ieeexplore.ieee.org/document/9522108/

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