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Updated: Jun 14, 2025

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基于GPT-BERT的混合深度学习模型用于假新闻检测

Pummy Dhiman1, Amandeep Kaur1, Deepali Gupta1

  • 1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140601, Punjab, India.

Heliyon
|September 2, 2024
PubMed
概括

一个新的转换器生成双向编码器表示 (GBERT) 框架有效检测假新闻. 这种方法结合了生成预训练变压器 (GPT) 和变压器的双向编码器表示 (BERT),以高精度识别欺诈性内容.

关键词:
深度学习是一种深度学习.假新闻检测 假新闻检测互联网访问 互联网访问大型语言模型.社交媒体 社交媒体技术 技术 技术 技术 技术文字分类 文本分类 文本分类变压器 变压器 变压器

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