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Analysis of International Research Hotspots on the Application of Chatbots in the Field of Psychological Counseling—Text Mining Based on LDA Topic Model Analysis

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DOI: 10.23977/jaip.2025.080211 | Downloads: 15 | Views: 432

Author(s)

Jingze Li 1

Affiliation(s)

1 Institute of Higher Education, Lanzhou University, Lanzhou, Gansu, 730000, China

Corresponding Author

Jingze Li

ABSTRACT

The application of Chatbots in the field of psychological counseling has demonstrated numerous advantages. Based on the LDA topic model, this study conducted a text mining analysis of 564 relevant papers included in the Web of Science core collection, IEEE, and ScienceDirect peer-reviewed journal collections up to 2025. The findings reveal that international research on the application of Chatbots in psychological counseling primarily focuses on four areas: artificial intelligence and mental health interventions, psychotherapy techniques and clinical practice, accessibility and integration of mental health services with technology, and specific psychological disorders and interdisciplinary applications. Future research should continue to explore the deep integration of advanced technologies with mental health services, aiming to make cost-effective, personalized, and scientific psychological counseling accessible to every individual in need.

KEYWORDS

Chatbot; Psychological Counseling; LDA Topic Model

CITE THIS PAPER

Jingze Li, Analysis of International Research Hotspots on the Application of Chatbots in the Field of Psychological Counseling—Text Mining Based on LDA Topic Model Analysis. Journal of Artificial Intelligence Practice (2025) Vol. 8: 81-87. DOI: http://dx.doi.org/10.23977/jaip.2025.080211.

REFERENCES

[1] Liang Peng, Guo Ling, Li Qiuyu. Research on College Students' Mental Health Education from the Perspective of Generative Artificial Intelligence [J]. Journal of Foshan University of Science and Technology (Social Sciences Edition), 2024,42(04):96-100.
[2] Vaswani A, Shazeer N, Parmar N, Uszkoreit J, et al. Attention is all you need[J].Advances in Neural Information Processing Systems, 30
[3] Radford A, Wu J, Child R, Radford A, Wu J, Child R, et al. Language models are unsupervised multitask learners[EB/OL].[2019]. OpenAI Blog.
[4] Devlin J, Chang M W, Lee K, et al. BERT: pre-training of deep bidirectional transformers for language understanding[C]. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,2019,1:4171-4186
[5] Fitzpatrick K K, Dark V, Guthrie D,et al. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent(Woebot):a randomized controlled trial[J]. JMIR Mental Health, 2017, 4(2):e16.
[6] Abd-Alrazaq A A, Alajlani M, Alalwan A A, Bewick B M, Gardner P, Househ M. An overview of the features of chatbots in mental health: A scoping review[J]. International Journal of Medical Informatics, 2019, 132: 103978.
[7] Xiaochong Lan, Yiming Cheng, Xiaochong Lan, Yiming Cheng, et al. Depression Detection on Social Media with Large Language Models[J]. ArXiv, abs,2024, 10750.
[8] Lucs G M, Gratch J, King A, Lucs G M, Gratch J, King A, et al. It's only a computer: virtual humans increase willingness to disclose[J]. Computers in Human Behavior, 2017, 37: 94-100.
[9] Nelson Chauhan, Samruddhi and Ashwini K Vaidya. Artificial Intelligence in Mental Health: Challenges and Opportunities[J]. International Journal of Nursing Education and Research, 2024.
[10] Han Yanan, Liu Jianwei, Luo Xionglin. Review of Probabilistic Topic Models [J]. Journal of Computer Science, 2021,44(6):1095-1139.
[11] Cao Shujin and Yue Wenyu. The Evolution of Academic Paper Research Topics in the School of Information Management, Wuhan University: Upholding Innovation-Nearly 60 Years [J]. Library Forum, 2020,40(11):86-97.

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