Scoping review on natural language processing applications in counselling and psychotherapy.
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| Title: | Scoping review on natural language processing applications in counselling and psychotherapy. |
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| Authors: | Laricheva, Maria (AUTHOR), Liu, Yan (AUTHOR), Shi, Edward (AUTHOR), Wu, Amery (AUTHOR) |
| Source: | British Journal of Psychology. May2026, Vol. 117 Issue 2, p677-701. 25p. |
| Subjects: | Psychotherapy, Effect sizes (Statistics), T-test (Statistics), Cluster analysis (Statistics), Questionnaires, Kruskal-Wallis Test, Logistic regression analysis, Natural language processing, Classification of mental disorders, Mann Whitney U Test, Structural equation modeling, Chi-squared test, Descriptive statistics, Research bias, Systematic reviews, MEDLINE, Inferential statistics, Analysis of variance, Counseling, Psychological tests, Online information services, Data analysis software, Psychology information storage & retrieval systems, Regression analysis, Evaluation |
| Abstract: | Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021. The purpose of this scoping review is to identify trends, advancements, challenges and limitations of these applications. Among the 41 papers included in this review, 4 primary study purposes were identified: (1) developing automated coding; (2) predicting outcomes; (3) monitoring counselling sessions; and (4) investigating language patterns. Our findings showed a growing trend in the number of papers utilizing advanced machine learning methods, particularly neural networks. Unfortunately, only a third of the articles addressed the issues of bias and generalizability. Our findings provided a timely systematic update, shedding light on concerns related to bias, generalizability and validity in the context of NLP applications in counselling and psychotherapy. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021. The purpose of this scoping review is to identify trends, advancements, challenges and limitations of these applications. Among the 41 papers included in this review, 4 primary study purposes were identified: (1) developing automated coding; (2) predicting outcomes; (3) monitoring counselling sessions; and (4) investigating language patterns. Our findings showed a growing trend in the number of papers utilizing advanced machine learning methods, particularly neural networks. Unfortunately, only a third of the articles addressed the issues of bias and generalizability. Our findings provided a timely systematic update, shedding light on concerns related to bias, generalizability and validity in the context of NLP applications in counselling and psychotherapy. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00071269 |
| DOI: | 10.1111/bjop.12721 |
