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### 基于预训练语言模型的健康谣言检测

1. 中国传媒大学, 北京 100024
• 收稿日期:2022-05-09 修回日期:2022-06-28 发布日期:2022-11-04
• 基金资助:
中国传媒大学中央高校基本科研业务费专项(CUC220C008,CUC220B013)资助课题.

XU Nuo, ZHAO Wei, SHANG Keyuan, CHEN Haoyu. Health Rumor Detection based on Pre-Trained Language Model[J]. Journal of Systems Science and Mathematical Sciences, 2022, 42(10): 2582-2589.

### Health Rumor Detection based on Pre-Trained Language Model

XU Nuo, ZHAO Wei, SHANG Keyuan, CHEN Haoyu

1. Communication University of China, Beijing 100024
• Received:2022-05-09 Revised:2022-06-28 Published:2022-11-04

Currently,most studies on rumor detection mainly focus on social media data and the length of text sequence is short.We argue that existing methods could not capture effective features from health rumors with long texts and then affect the validity of methods.To solve this,we propose an improved BERT-BiLSTM model (I-BERT-BiLSTM),which leverages effective information extracted from texts with long sequences for the health rumor detection.We first conduct text summarization from document-level text.The results are regarded as the input of the deep network model with multi-layer self-attention mechanisms for feature extraction.Finally,we feed the output into BiLSTM for rumor classification.The experimental results show that the model we proposed in this paper achieves 97.75% and 91.15% accuracy on the self-built health rumor data and public data.

MR(2010)主题分类:

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