三十年的公共演讲焦虑研究:使用LDA-Word2Vec集成的话题建模和语义趋势预测
Mocheng Lin1, Yi Sun2, Lang Chen2
1School of Foreign Studies, Fuzhou University of International Studies and Trade, Fuzhou, China.
Frontiers in human neuroscience
|November 10, 2025
概括
公共演讲焦虑 (PSA) 研究已经显著发展,最近的重点是数字工具和虚拟治疗. 未来的研究可能会探讨语言学习,虚拟干预和管理PSA的高级心理测量评估.
科学领域:
- 心理学 心理学 心理学
- 图书统计学 图书统计学
- 计算语言学 计算语言学
背景情况:
- 公共演讲焦虑 (PSA) 是一种普遍的疾病,具有重大影响.
- 现有的研究缺乏系统的主题映射和未来前景.
- 图书统计分析可以揭示PSA研究的趋势和未来方向.
研究的目的:
- 系统地绘制公共演讲焦虑研究的主题景观.
- 分析主题演变,并确定新兴的研究前沿.
- 为未来的心理学文献计量研究提供方法指导.
主要方法:
- 隐藏的迪里克莱特分配 (LDA) 和Word2Vec用于语义分析.
- 从1995年到2024年,对990篇同行评审文章进行了分析,涉及多个Web of Science索引.
- 引入集群新性和主题新性指标,以预测未来的研究.
主要成果:
- 确定了九个主要的主题集群,包括心理健康,生理反应,社会恐惧症和虚拟现实.
- 揭示了数字焦虑和评估技术的专题演变.
- 突出了语言学习,虚拟治疗和心理测量工具作为暂时新的研究领域.
结论:
- 该研究提供了PSA研究的数据驱动地图,确定了关键主题及其演变.
- 新兴的研究领域包括数字干预,语言学习应用程序和先进的评估工具.
- 该方法为未来心理学研究中的文献计量分析提供了一个框架.
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