在咨询和心理治疗中对自然语言处理应用的范围审查
Maria Laricheva1, Yan Liu2, Edward Shi3
1Educational and Counselling Psychology, and Special Education, The University of British Columbia, Vancouver, British Columbia, Canada.
British journal of psychology (London, England : 1953)
|August 3, 2024
概括
心理治疗中的自然语言处理 (NLP) 显示了机器学习的日益使用. 然而,较少的研究涉及偏见和概括性,突出了NLP在心理健康中的应用的主要挑战.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 计算语言学 计算语言学
背景情况:
- 自然语言处理 (NLP) 已取得显著的进步,使复杂的文本分析成为可能.
- 在咨询和心理治疗中NLP的应用已经成为一个不断增长的研究领域.
- 了解NLP在这个领域的趋势,进步和局限性至关重要.
研究的目的:
- 从1990年到2021年,对NLP在咨询和心理治疗中的应用进行范围审查.
- 确定该领域的关键趋势,技术进步和挑战.
- 评估研究在多大程度上解决了诸如偏见和可概括性等关键问题.
主要方法:
- 系统的文献搜索NLP在咨询和心理治疗中的应用.
- 范围审查方法来综合来自41篇纳入论文的发现.
- 根据主要目的对研究进行分类:自动编码,结果预测,会话监测和语言模式调查.
主要成果:
- 在审查期间,在心理治疗研究中NLP应用的显著增加.
- 显著的趋势是采用先进的机器学习方法,特别是神经网络.
- 一个令人担忧的发现:只有三分之一的审查研究解决了偏见和概括性问题.
结论:
- NLP为分析治疗话语提供了强大的工具,并越来越多地采用先进的人工智能.
- 对于心理健康的NLP研究中对偏见,概括性和有效性给予更大的关注是非常必要的.
- 未来的研究应该优先考虑可靠的方法,确保在咨询和心理治疗中公平可靠的NLP应用.
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