通过社会智能分析分析孤独和失眠的表达
Hurmat Ali Shah1, Mowafa Househ2
1Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar hurmata.shah@gmail.com.
BMJ health & care informatics
|January 20, 2025
概括
社交媒体数据显示,孤独和失眠往往同时发生,抑郁症状调解了这种联系. 个人感受和时间是关键主题,将这些条件连接到网上.
科学领域:
- 医疗信息学 医疗信息学
- 社会科学 社会科学 社会科学
- 计算语言学 计算语言学
背景情况:
- 孤独和失眠是经常同时发生的情况.
- 社交媒体为自我报告孤独的主观经历提供了一个平台.
- 通过社交媒体数据了解孤独感,补充了社会学和心理学的观点.
研究的目的:
- 调查社交媒体上的孤独和失眠关键词的共同表达.
- 探索与孤独和失眠的同时表达相关的主题和类别.
- 利用健康信息学的方法来分析社交媒体关于心理健康的数据.
主要方法:
- 收集了与孤独和失眠有关的推特.
- 应用情绪分析来过具有负面内涵的推文.
- 进行单词出现频率分析以确定关联和主题.
主要成果:
- 在社交媒体上确认了孤独和失眠关键词之间的显著联系.
- 确定抑郁症状是孤独与失眠相关的调解因素.
- 发现个人情感和时间是连接孤独和失眠的重要主题.
结论:
- 社交媒体数据可以有效地揭示孤独和失眠的同时发生.
- 孤独,失眠和抑郁症状之间的相互作用在在线话语中可以观察到.
- 对社交媒体的分析为人们对这些情况的主观体验提供了宝贵的见解.
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