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使用大型语言模型进行高级主题建模:分析痴呆症护理人员的社交媒体内容

Weiqing He1, Bojian Hou1, Amy Zheng1

  • 1Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.

Innovation in aging
|December 29, 2025
PubMed
概括

大型语言模型 (LLM) 为痴呆症护理人员推特提供了优越的主题建模,优于传统方法. 这种方法增强了语义理解,并为护理人员的经验产生了更加连贯,可解释的见解.

关键词:
医疗保健信息学是一种医疗信息学.自然语言处理自然语言处理.快递工程是指快递的工程.语义上的连贯性 语义上的连贯性社交媒体分析

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