使用基于变压器的主题建模来检查Delta-8四大麻素的讨论:内容分析
Brandi Patrice Smith1, Brooke Hoots2,3, Lara DePadilla2
1Office of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Journal of medical Internet research
|December 21, 2023
概括
德尔塔-8四大麻 (THC) 越来越多地在网上讨论,人们越来越多地提到焦虑和呼吸问题等健康问题. 这项研究使用人工智能分析社交媒体帖子,揭示了与delta-8THC使用相关的新兴公共卫生问题.
科学领域:
- 对于大麻素的研究
- 公共卫生监督是对公共卫生的监督.
- 自然语言处理应用程序
背景情况:
- 德尔塔-8四大麻素 (THC) 是一种精神活性大麻素,天然存在于大麻中,并从大麻中合成生产.
- 大麻衍生的delta-8THC产品广泛可用,即使在delta-9THC是非法的地方.
- 德尔塔-8THC对健康的影响和处理方面的担忧仍未得到充分研究.
研究的目的:
- 实施一种新的基于变压器的主题建模方法.
- 从社交媒体中识别和描述有关delta-8THC的新兴趋势和讨论主题.
- 分析与delta-8THC使用相关的潜在症状和不良健康结果.
主要方法:
- 从Reddit论坛 (2008-2021) 中隔离了41,191个delta-8THC帖子.
- 使用无监督的,最先进的基于变压器的模型进行主题聚类.
- 与人类主题专家一起验证了结果.
主要成果:
- 确定了81个主题,主要主题包括产品讨论,大麻素比较和安全警告.
- 大约5%的帖子 (n=1220) 讨论了焦虑,睡眠障碍和呼吸问题等健康症状.
- 在Reddit上提到delta-8THC的次数从2019年到2021年大幅增加.
结论:
- 为围绕delta-8THC的新兴公共卫生问题提供了洞察力.
- 展示了基于变压器的学习对于从非结构化数据中识别健康趋势的实用性.
- 强调了在识别与新物质相关的健康问题方面提高及时性的潜力.
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