Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data

Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data

In today’s world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread. According to WHO reports, depression is the second-leading cause of the global burden of diseases. In the proliferation of such issues, social media...

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Bibliographic Details
Main Authors: Aleena Nadeem, Muhammad Naveed, Muhammad Islam Satti, Hammad Afzal, Tanveer Ahmad, Ki-Il Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
depression detection
implicit depressive tweets
ternary classification
self-attention mechanism
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/24/9775

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