Sentiment-Aware Chatbots for Mental Health Interventions
DOI:
https://doi.org/10.63345/Keywords:
Sentiment-aware chatbot, mental health interventions, natural language processing, affective computing, digital therapyAbstract
The increasing prevalence of mental health challenges across societies has necessitated the integration of technology-driven interventions to complement conventional therapeutic models. Among these innovations, sentiment-aware chatbots—conversational agents that leverage artificial intelligence (AI), natural language processing (NLP), and affective computing—are emerging as promising tools for scalable, cost-effective, and accessible mental health care delivery.
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• Abd-Alrazaq, A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2021). An overview of the features of chatbots in mental health: A scoping review. International Journal of Medical Informatics, 154, 104–112. https://doi.org/10.1016/j.ijmedinf.2021.104112
• Almusharraf, N., & Bailey, A. (2023). Sentiment-aware conversational agents for mental health support: Advances and challenges. Journal of Artificial Intelligence Research, 76(1), 45–62. https://doi.org/10.1613/jair.1.14532
• Bickmore, T. W., Trinh, H., Asadi, R., Olafsson, S., & Paasche-Orlow, M. K. (2021). Long-term use of conversational agents for promoting physical activity in chronic disease. Journal of the American Medical Informatics Association, 28(4), 771–781. https://doi.org/10.1093/jamia/ocaa236
• Botella, C., Mira, A., García-Palacios, A., & Baños, R. M. (2022). Online and mobile psychological interventions: Applications, efficacy, and future directions. Annual Review of Clinical Psychology, 18, 205–229. https://doi.org/10.1146/annurev-clinpsy-081219-092849
• Calvo, R. A., & D’Mello, S. (2020). Affective computing and adaptive mental health interventions. IEEE Transactions on Affective Computing, 11(1), 18–33. https://doi.org/10.1109/TAFFC.2018.2890599
• Chen, H., Qian, Y., & Lee, H. (2023). Transformer-based sentiment detection for mental health chatbots. IEEE Access, 11, 12677–12690. https://doi.org/10.1109/ACCESS.2023.3245678
• Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2021). Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety: Randomized controlled trial. JMIR Mental Health, 5(4), e64. https://doi.org/10.2196/64
• Inkster, B., Sarda, S., & Subramanian, V. (2021). An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-being: Real-world data evaluation. JMIR mHealth and uHealth, 9(5), e12106. https://doi.org/10.2196/12106
• Jaiswal, M., Jain, S., & Dutta, S. (2024). Emotion-aware dialogue systems for mental health care: Opportunities and challenges. Frontiers in Artificial Intelligence, 7, 1442378. https://doi.org/10.3389/frai.2024.1442378
• Kretzschmar, K., Tyroll, H., Pavarini, G., Manzini, A., & Singh, I. (2021). Can your phone be your therapist? Young people’s ethical perspectives on the use of fully automated conversational agents (chatbots) in mental health support. Biomedical Informatics Insights, 13, 1–13. https://doi.org/10.1177/11782226211006028
• Liu, X., Wang, Y., & Huang, Z. (2022). Sentiment analysis in healthcare: Applications in mental health monitoring. Artificial Intelligence in Medicine, 126, 102264. https://doi.org/10.1016/j.artmed.2022.102264
• Luxton, D. D. (2021). Ethical challenges in AI-driven mental health care. Journal of Clinical Psychology, 77(6), 1465–1478. https://doi.org/10.1002/jclp.23198
• Miner, A. S., Milstein, A., & Hancock, J. T. (2020). Talking to machines about personal mental health problems. JAMA, 323(23), 2373–2374. https://doi.org/10.1001/jama.2020.5792
• Oh, S., Lee, H., & Park, Y. R. (2021). Chatbot-based conversational agent for mental health intervention: A systematic review. Frontiers in Digital Health, 3, 671560. https://doi.org/10.3389/fdgth.2021.671560
• Purington, A., Taft, J. G., Ahn, J., & Taylor, S. (2023). Designing emotionally intelligent chatbots for youth well-being. Computers in Human Behavior, 142, 107700. https://doi.org/10.1016/j.chb.2022.107700
• Sharma, R., & Shukla, P. (2024). Hybrid deep learning models for emotion recognition in therapeutic chatbots. Neural Computing and Applications, 36, 991–1008. https://doi.org/10.1007/s00521-023-08128-6
• Thakur, A., & Singh, R. (2022). Digital interventions for anxiety and depression: A meta-analysis of chatbot-based applications. Journal of Affective Disorders, 305, 103–114. https://doi.org/10.1016/j.jad.2022.01.035
• Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. B. (2021). Chatbots and conversational agents in mental health: A review of the psychiatric landscape. Canadian Journal of Psychiatry, 66(5), 456–464. https://doi.org/10.1177/0706743720907052
• Wang, J., Zhang, Q., & Xu, Y. (2025). Multimodal emotion recognition for sentiment-aware chatbots in clinical counseling. Artificial Intelligence Review, 58(2), 233–256. https://doi.org/10.1007/s10462-025-10672-y
• Yang, Y., Jiang, H., & Xu, J. (2022). Evaluating user trust and empathy in AI-driven mental health chatbots. ACM Transactions on Interactive Intelligent Systems, 12(4), 1–24. https://doi.org/10.1145/3498449
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