使用个人写作来检测痴呆症:一个文本挖掘方法.
Beni Asllani1, Deborah M Mullen1
1Department of Management, The University of Tennessee at Chattanooga, Gary W. Rollins College of Business, Chattanooga, TN, USA.
Health informatics journal
|October 6, 2023
概括
这项研究探讨了使用语言调查和词数 (LIWC) 的文章中痴呆症的检测. 研究结果表明,文本中的语言标记可能表明早期痴呆的变化.
科学领域:
- 神经科学是一个神经科学.
- 计算语言学 计算语言学
- 心理学 心理学 心理学
背景情况:
- 早期发现痴呆症对于及时干预至关重要.
- 文本分析提供了一种非侵入性的认知评估方法.
- 语言模式可能反映了与痴呆症相关的潜在认知变化.
研究的目的:
- 通过语言调查和词数 (LIWC) 试行用于痴呆症检测的文本挖掘方法.
- 为了比较痴呆症和没有痴呆症的个体写作的语言特征.
- 探索分析词汇选择和影响对于早期痴呆症识别的潜力.
主要方法:
- 使用语言调查和词数 (LIWC) 进行了一项新的文本挖掘试点.
- 分析了公众人物的写作,以寻找词汇选择,情感和语言模式.
- 从有痴呆症和没有痴呆症的个体的样本进行了比较.
主要成果:
- 痴呆症患者的写作显示了显著更多的分析思维词.
- 患有痴呆症的个体使用的真实性和情感性语气明显减少,功能性词语也减少.
- 代名词的使用量显着更高,时间导向的单词在痴呆症患者的样本中显著降低.
结论:
- 使用LIWC进行的文本分析表明,有可能检测出与痴呆相关的早期语言变化.
- 独特的语言标记,包括词汇选择和影响,区分患有痴呆症和没有痴呆症的个体.
- 这种方法可能有助于在显著的认知障碍明显之前提供早期的预防性治疗.
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