CAMM: Cross-Attention Multimodal Classification of Disaster-Related Tweets

CAMM: Cross-Attention Multimodal Classification of Disaster-Related Tweets

During the past decade, social media platforms have been extensively used for information dissemination by the affected community and humanitarian agencies during a disaster. Although many studies have been done recently to classify the informative and non-informative messages from social media post...

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Bibliographic Details
Main Authors: Anuradha Khattar, S. M. K. Quadri
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural network (DCNN)
disaster management
multimodal learning
attention mechanism
cross-attention
social media
Online Access:https://ieeexplore.ieee.org/document/9869837/

Internet

https://ieeexplore.ieee.org/document/9869837/

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