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Deep Learning-based Solution for Mental Health Issues

Author

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  • Andreea RIZEA

    (The Bucharest University of Economic Studies, Romania)

Abstract

The current paper proposes a solution for the nowadays mental health problems using artificial intelligence algorithms. Making use of natural language processing (NLP) techniques, the main idea is to construct a conversational agent which can act as a psychologist. This can be possible by implementing sentiment analysis on the patient's input text. In order to cope with the user's feelings, the chatbot is developed to perform cognitive behavioral therapy (CBT) exercises with him or her. These exercises are effective even in an online environment. The analysis performed by the sentiment model will detect a dominant emotion in the user's behavior and in this way the bot will adapt the conversation for obtaining better results.

Suggested Citation

  • Andreea RIZEA, 2022. "Deep Learning-based Solution for Mental Health Issues," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 13(1), pages 57-70.
    • Handle: RePEc:aes:dbjour:v:13:y:2022:i:1:p:57-70
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