情感算法:对神经分离的Reddit社区的混合NLP分析
1Management Department, Faculty of Economics, Administrative, and Social Sciences, Alanya University, 07400, Alanya, Antalya, Turkiye.
Acta psychologica
|September 6, 2025
概括
在线神经分离社区在数字话语中揭示了结构化的情感模式. 这项研究为自闭症和多动症社区设计更具包容性的技术提供了洞察力.
科学领域:
- 计算语言学
- 情感计算
- 人与计算机的交互
背景情况:
- 在线社区为神经差异的个体提供了分享经验和寻求支持的重要空间.
- 了解这些数字空间中情感表达的细微差别对于开发包容性技术至关重要.
- 现有的研究往往缺乏可扩展的方法来分析神经分离的在线社区中的复杂情感话语.
研究的目的:
- 分析神经分歧在线话语中的主题和情感模式.
- 识别自闭症,多动症和一般神经多样性的关键主题和情绪调.
- 通过神经分离的用户的数字沟通提供包容性技术设计的框架.
主要方法:
- 使用混合自然语言处理 (NLP) 框架,结合VADER情绪分析和BERTopic建模.
- 分析了238,100条帖子和相关子频道的评论 (2023年1月至2024年2月).
- 集成的NLP工具与视觉分析来绘制和理解数字话语.
主要成果:
- 确定了十个不同的情绪突出话题, 包括情绪过载,掩盖和诊断障碍.
- 展示了情感与主题的对齐, 展示了情感的基调是如何嵌入特定的主题.
- 揭示了神经分离网络社区中的结构化情感动态.
结论:
- 这项研究提供了一个可复制的框架,用于使用可扩展的NLP分析富含情感的在线内容.
- 这些发现为为神经分离的用户设计情感响应的数字环境提供了经验基础.
- 提高神经多样性研究的情感计算和HCI的方法严谨性.
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