Deep Learning-based Solution for Mental Health Issues

Andreea Rizea ()
Additional contact information
Andreea Rizea: The Bucharest University of Economic Studies, Romania

Database Systems Journal, 2022, vol. 13, issue 1, 57-70

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.

Keywords: Deep Learning; Natural Language Processing; Chatbot; Artificial Intelligence; Cognitive Behavioral Therapy (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://dbjournal.ro/archive/33/33_7.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:13:y:2022:i:1:p:57-70

Access Statistics for this article

Database Systems Journal is currently edited by Ion Lungu

More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Adela Bara ().