AI and NLP in Social Good: Enhancing Emergency Response and Crisis Handling via Text Analytics

Authors

  • Maimuna Tasnim Nusaiba

    Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh

    Author

  • Krishna Devarapu

    Senior Data Solutions Architect, Mission Cloud Services Inc., Beverley Hills, CA, USA

    Author

  • Md. Arif Jawad

    CEO, Amz Sony E-commerce Consulting, Dhaka, Bangladesh

    Author

  • Humaira Tasnim

    Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

    Author

Keywords:
Artificial Intelligence (AI), Natural Language Processing (NLP), Emergency Response, Crisis Management, Text Analytics, Sentiment Analysis, Disaster Response, Crisis Handling, Data Privacy, AI Ethics
Abstract

This study examines how AI and NLP can improve emergency response and crisis management. The study analyzes large volumes of unstructured text to determine how AI and NLP can improve crisis management efficiency, accuracy, and efficacy. A detailed literature review, case studies, and real-world emergency evaluations of AI-driven technologies, including sentiment analysis, text categorization, and language translation, are used. Significant findings show that AI and NLP automate the processing of social media, news, and emergency call data, can shorten reaction times, and improve decision-making. AI-powered language translation helps multilingual disaster zones communicate, while sentiment analysis prioritizes critical areas by assessing public suffering. AI systems help map crises, identify hotspots, and detect disinformation, improving resource allocation. Unfortunately, data quality, computational bias, and linguistic idiosyncrasies are issues. According to the study, AI deployment requires clear policies on data protection, transparency, and ethics in crisis scenarios. The policy implications indicate that substantial restrictions are needed to ensure responsible AI use, safeguard individual rights, and prevent misuse. The research shows that AI and NLP may improve emergency response, but they require ongoing development and ethical oversight.

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Published
2025-09-23
Issue
Vol. 6 No. 1 (2025): January-December
Section
Peer-reviewed Articles
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How to Cite

Nusaiba, M. T., Devarapu, K., Jawad, M. A., & Tasnim, H. (2025). AI and NLP in Social Good: Enhancing Emergency Response and Crisis Handling via Text Analytics. NEXG AI Review of America, 6(1), 14-33. https://nexgaireview.com/article/view/25

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