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针对损害的推特分类:使用微调的BERT模型进行基础设施和人身损害评估

Muhammad Shahid Iqbal Malik1, Muhammad Zeeshan Younas2, Mona Mamdouh Jamjoom3

  • 1Department of Computer Science, National Research University Higher School of Economics, Moscow, Russia.

PeerJ. Computer science
|March 4, 2024
PubMed
概括

本研究介绍了一种来自变压器的双向编码器表示 (BERT) 模型,用于对灾难损害评估推特进行分类. 微调的BERT模型显著改善了对基础设施和人类损害的检测,实现了最先进的结果.

关键词:
损害评估 损害评估 损害评估 损害评估灾难是一种灾难.精细调整的BERT是一个很好的方法.人类损害的人类损害语言语境 语言背景 语言背景他们的推特是Twitter.

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