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 End Cap Tube have been utilized in the existing literature for the detection of mental illness