Anzeige
Erschienen in:
2021 | OriginalPaper | Buchkapitel
A Survey on Mental Health Monitoring System Via Social Media Data Using Deep Learning Framework
verfasst von : Satyaki Banerjee, Nuzhat F. Shaikh
Erschienen in: Techno-Societal 2020
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
In today’s society Depression, Stress and Gloominess are some of the most broadly perceived and increasing mental issue influencing us. The presence of a system that is automatically capable of identifying a users mental state is of great benefit. Due to users spending a lot of time on social media using that to check his well-being will be helpful in many ways. There are various algorithms such as Random Forest, SVM, ANN, CNN, RNN present using which this can be achieved. Sentiment Analysis and deep learning techniques could provide us robust algorithms and structure for a target also a chance for observing mental issues which are, specifically of depression and stress. In this paper different ways of dealing with depression shown on social media platform are studied. This will enable in achievement of better understanding of the various mechanisms used in depression detection.