评估现有的基于词典的情感分析技术对家庭医学居民反的适用性 现场笔记:回顾性队列研究
Kevin Jia Qi Lu1, Christopher Meaney1, Elaine Guo2
1Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.
JMIR medical education
|July 27, 2023
概括
对医务人员现场笔记的情感分析是可行的,但需要专门的词典. 现有的工具显示出希望,但需要适应细微的医学教育反来改善培训.
科学领域:
- 医学教育 医学教育
- 自然语言处理自然语言处理.
- 文本挖掘 (Text Mining) 是一个很好的方法.
背景情况:
- 现场笔记对于加拿大医学培训中的居民-接受者反至关重要.
- 对教师来说,分析大量的反文本是具有挑战性的.
- 情绪分析为合成反极性提供了一个潜在的解决方案.
研究的目的:
- 评估医疗住院实地笔记情绪分析的可行性和实用性.
- 为了评估这个应用程序的三个流行的情感词典.
主要方法:
- 以回顾的队列设计,使用多伦多大学2年的现场笔记.
- 基于词典的情感分析,使用三个标准化词典,由医学专家修改.
- 文档级情绪极性与教师评分的相关性.
主要成果:
- 由于含糊性,大约三分之一的单词被从词典中删除.
- 平均情绪对"优势"略有积极,对"改善领域"略有不积极.
- 情绪评分显示了词典之间的合理一致,与教师评分相关.
结论:
- 情绪分析是一种可行的方法,可以系统地分析医疗住院的现场笔记.
- 现有的情感词典在医学领域的适用性有限,需要特定的语境词典.
- 未来的工作应该探索基于方面的情绪分析,以更细致的反解释和课程改进.
关键词:
数据挖掘是数据挖掘的一个方法.字典,字典,字典就是这样的东西.一个字典,一个词典.的可行性和可行性.有关反的意见反反反.字段笔记 字段笔记 字段笔记 字段笔记词汇 词汇 词汇 词汇 词汇词汇词典词典词典医学教育 医学教育医疗住院医生是什么意思医学院的学生医生.医学实习生 医学实习生居住地 居住地居住在该地区的居民情绪分析是一种情绪分析.文本采矿 文本采矿是什么公用事业公用事业公司一个词汇的词汇库.更多相关视频
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