Artificial Intelligence and Emotion Recognition: Examining the Application of Sentiment Analysis Algorithms in Psychological Counseling and Therapy

In recent years, the integration of artificial intelligence (AI) into psychological services has opened new frontiers in understanding and supporting mental health. Among these advancements, emotion analysis—also known as sentiment detection—stands out as a transformative tool in therapy and counseling. By leveraging natural language processing (NLP), facial recognition, and voice analysis, AI systems can detect emotional states with increasing accuracy and consistency. This paper examines the application of AI-powered emotion recognition algorithms in psychological settings, exploring their potential to assist therapists in diagnosing emotional disorders, personalizing treatment plans, and improving therapeutic outcomes. Ethical considerations and the limitations of current technologies are also discussed to provide a balanced view of their implementation in real-world clinical environments.

کلیدواژه ها:

Artificial Intelligence ، Emotion Recognition ، Sentiment Analysis ، Psychological Counseling ، Mental Health ، Affective Computing ، Therapy Personalization