假新闻检测:深度语义表示,增强功能工程
Mohammadreza Samadi1, Saeedeh Momtazi1
1Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran.
概括
这项研究通过将语义特征与基于内容的工程结合起来,提高了假新闻的检测能力. 拟议的深度神经网络提高了COVID-19和波斯语数据集的准确性和F1得分.
科学领域:
- 自然语言处理自然语言处理.
- 机器学习 机器学习
- 计算语言学 计算语言学
背景情况:
- 社交媒体促进了虚假新闻的快速传播,影响了公共和政府领域.
- 现有的错误信息检测模型主要依赖于来自深度上下文化文本表示的语义特征.
- 需要更强大的方法来准确识别假新闻.
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