1. Adwaith, D., Abishake, A.K., Raghul, S.V., Sivasankar, E.: Enhancing multimodal disaster tweet classification using state-of-the-art deep learning networks. Multim. Tools Appl. (2022)
2. Agrawal, A., Wei, F., Menzies, T.: What is wrong with topic modeling? And how to fix it using search-based software engineering. Inf. Softw. Technol. 98, 74–88 (2018)
3. Ahmed, L., Ahmad, K., Said, N., Qolomany, B., Qadir, J., Al-Fuqaha, A.: Active learning based Federated learning for waste and natural disaster image classification. IEEE Access 8, 208518–208531 (2020)
4. Barbieri, F., Anke, L.E., Camacho-Collados, J.: XLM-T: multilingual language models in Twitter for sentiment analysis and beyond. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, Marseille, France, 2022, pp. 258–266. European Language Resources Association
5. Berners-Lee, T.: Web architecture: filtering and censorship. https://www.w3.org/DesignIssues/Filtering.html (1997)