AI-driven social media text analysis during crisis: A review for natural disasters and pandemics

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Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, Xiaoheng Jiang, Lei Shi, Yufei Gao, Shabir Hussain, Yu Yang

Published: 01 Jan 2025, Last Modified: 06 Apr 2025Appl. Soft Comput. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Application-oriented review offers insights for crisis text analysis on social media.•Examined 84 articles for crisis response, exploring ML, DL, and topic modeling.•Tracked the dynamic shift in crisis text analysis from traditional ML to dominant DL.•Highlighted the impact of pre-trained embeddings, which boosts performance.•Advocated studies on low-resource languages and emphasized need for explainable AI.