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Updated: Jul 5, 2025

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使用基于LSTM的深度学习模型进行虚假新闻分类的新方法

Halyna Padalko1,2,3, Vasyl Chomko4, Dmytro Chumachenko1

  • 1Mathematical Modelling and Artificial Intelligence Department, National Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine.

Frontiers in big data
|January 23, 2024
PubMed
概括

这项研究引入了用于假新闻检测的先进深度学习模型. 一个基于注意力的Bi-LSTM模型实现了97.66%的准确性,提供了对错误信息的强有力的解决方案.

关键词:
这就是BiLSTM.这是LSTM的LSTM.基于注意力的BiLSTM深度学习是一种深度学习.虚假信息 虚假信息是一种错误的信息.假新闻是虚假的新闻.错误的信息 错误的信息

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