Multi-modality helps in crisis management: An attention-based deep learning approach of leveraging text for image classification

Author:

Ahmad ZishanORCID,Jindal Raghav,N.S. MukunthaORCID,Ekbal Asif,Bhattachharyya Pushpak

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference40 articles.

1. Aipe, A., Mukuntha, N., Ekbal, A., & Kurohashi, S. (2018). Deep learning approach towards multi-label classification of crisis related tweets. In Proceedings of the 15th international conference on information systems for crisis response and management.

2. Image4act: Online social media image processing for disaster response;Alam,2017

3. Alam, F., Joty, S., & Imran, M. (2018). Domain adaptation with adversarial training and graph embeddings. In Proceedings of the 56th annual meeting of the association for computational linguistics (volume 1: long papers) (pp. 1077–1087).

4. Alam, F., Ofli, F., & Imran, M. (2018). Crisismmd: Multimodal twitter datasets from natural disasters. In Proceedings of the 12th international aaai conference on web and social media (icwsm) (pp. 465–473).

5. Tweedr: Mining twitter to inform disaster response;Ashktorab,2014

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