通过在线论坛Reddit的自然语言处理分析成的渴望发作
Thea Kramer1, Georg Groh1, Nathalie Stüben2
1Department of Informatics, Technical University of Munich, Munich, Germany.
PloS one
|May 20, 2024
概括
这项研究分析了超过24,000个在线帖子,以了解酒精使用障碍 (AUD) 患者的酒精渴望. 人工智能确定了压力和无聊等常见触发因素,为渴望背景提供了新的见解.
科学领域:
- 计算社会科学 计算社会科学
- 精神病学是一个精神病学.
- 人工智能在健康中的应用.
背景情况:
- 渴望酒精是患有酒精使用障碍 (AUD) 个体复发的重要因素.
- 了解这些渴望的日常频率和触发因素对于开发有效干预措施至关重要.
- 以前的研究已经确定了常见的渴望触发因素,但大规模的现实世界数据分析是有限的.
研究的目的:
- 调查与酒精有关的问题的个人日常生活中的酒精渴望的频率和触发因素.
- 利用人工智能 (AI) 方法来识别渴望数据中的模式和分组.
- 探索渴望背景和特定触发器之间的语义关系.
主要方法:
- 在Reddit上分析了在线论坛"停止饮酒"的帖子 (2017年4月至2022年4月).
- 应用word2vec用于矢量空间映射和隐性迪里克莱特分配 (LDA) 进行主题建模.
- 统计分析词语相似度得分,以确定渴望的背景 (位置,时间,社会环境,情绪).
主要成果:
- 大约16%的分析帖子讨论了酒精渴望.
- 与渴望相关的帖子随着上次饮酒以来的日数呈指数级下降.
- 发现的常见触发因素包括情绪 (无聊,压力) 和位置 (机场).
- 人工智能分析证实了已知的触发因素,并揭示了新的渴望背景.
结论:
- 这项由人工智能驱动的对24,000多个人的分析是首次用于了解日常酒精渴望.
- 这些发现验证了已确定的渴望触发器,并突出了潜在干预的新背景.
- 这项研究为未来基于人工智能的酒精使用障碍和渴望管理研究提供了基础.
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