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Deep Learning-Based Sentiment Analysis of Disaster Events on Social Media
Artificial Intelligence | 更新时间：2026-02-09

    • Deep Learning-Based Sentiment Analysis of Disaster Events on Social Media

    • “Experts construct the BERT-GAT Transformer model, integrating graph attention networks and Transformers to enhance text semantic association modeling and long-distance dependency capture capabilities, improve the accuracy of sentiment classification in disaster event related texts, and provide technical support for emergency decision-making.”
    • Software Guide   Vol. 25, Issue 2, Pages: 21-27(2026)

    • DOI：10.11907/rjdk.251293    

      CLC： TP393

    • Received：23 April 2025，

      Published：26 February 2026

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  • LIU Xi,YAN Ye.Deep Learning-Based Sentiment Analysis of Disaster Events on Social Media[J].Software Guide,2026,25(02):21-27. DOI： 10.11907/rjdk.251293.

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