AAI_2025_Capstone_Chronicles_Combined
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Madichetty, S., & M, S. (2020). Improved classification of crisis-related data on Twitter using contextual representations. Procedia Computer Science, 167, 962–968. https://doi.org/10.1016/j.procs.2020.03.395 Manin, E., & Goutte, C. (2018). NLP for financial risk management. In Proceedings of the First Workshop on Economics and Natural Language Processing (pp. 79–86). Association for Computational Linguistics. Doi: https://doi.org/10.18653/v1/W18-5810 Ndugga, N., Artiga, S., & Pillai, D. (2025, October 9). Impacts of recent federal and state actions on natural disaster preparedness and response on health . KFF. https://www.kff.org/racial-equity-and-health-p olicy/impacts-of-recent-federal-and-state-actio ns-on-natural-disaster-preparedness-and-respo nse-on-health/ Nguyen, D. T., Joty, S., Imran, M., Sajjad, H., & Mitra, P. (2016). Applications of online deep learning for crisis response using social media information. https://doi.org/10.48550/arXiv.1610.01030 Ramos, J. (2003). Using TF-IDF to determine word relevance in document queries. In Proceedings of the First Instructional Conference on Machine Learning (Vol. 242, pp. 133-142). Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2011). Classifier chains for multi-label classification. Machine Learning, 85 (3), 333–359. Doi: https://doi.org/10.1007/s10994-011-5256-5 Sorower, M. S. (2010). A literature survey on algorithms for multi-label learning. Oregon State University. https://www.semanticscholar.org/paper/A-Lite rature-Survey-on-Algorithms-for-Multi-label Sorower/6b5691db1e3a79af5e3c136d2dd3220 16a687a0b
Tsoumakas, G., & Katakis, I.M. (2007). Multi-Label Classification: An Overview. Int. J. Data Warehous. Min., 3, 1-13. https://doi.org/10.4018/jdwm.2007070101?sid =semanticscholar Ko, Y (2012). A study of term weighting schemes using class information for text classification https://doi.org/10.1145/2348283.2348453 Zhang, X., Zhao, J., & LeCun, Y. (2019). Character-level convolutional networks for text classification. In Advances in Neural Information Processing Systems (pp. 649-657). https://doi.org/10.48550/arXiv.1509.01626
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