Visual and Linguistic Double Transformer Fusion Model for Multimodal Tweet Classification

Author:

Zhou Jinyan1,Wang Xingang1,Liu Ning2,Liu Xiaoyu1,Lv Jiandong3,Li Xiaomin1,Zhang Hong1,Cao Rui1

Affiliation:

1. Qilu University of Technology, Shandong Academy of Sciences,Jinan,China

2. China University of Mining and Technology,Xuzhou,China

3. Shandong University of Science and Technology,Qingdao,China

Funder

National Key Research and Development Plan

Publisher

IEEE

Reference27 articles.

1. Identifying disaster-related tweets: a large-scale detection model comparison;algiriyage;Social Media in Crises and Conflicts Proceedings of the 18th ISCRAM Conference,0

2. Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies

3. Identifying disaster damage images using a domain adaptation approach;li;Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management,0

4. Image4Act

5. Applications of online deep learning for crisis response using social media information;nguyen;ArXiv Preprint,2016

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