A Hybrid Transformer Architecture for Multiclass Mental Illness Prediction Using Social Media Text

A Hybrid Transformer Architecture for Multiclass Mental Illness Prediction Using Social Media Text

Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders. Therefore, machine learning and deep learning algorithms have been utilized in the existing literatu...

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Bibliographic Details
Main Authors: Adnan Karamat, Muhammad Imran, Muhammad Usman Yaseen, Rasool Bukhsh, Sheraz Aslam, Nouman Ashraf
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
mental illness
MentalBERT
melBERT
social media
Online Access:https://ieeexplore.ieee.org/document/10804794/
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