IEEE

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

Abstract: 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 ...
IEEE

Abstractive Text Summarization in Arabic-Like Script Using Multi-Encoder Architecture and Semantic Extraction Techniques

Abstract: In the field of Natural Language Processing (NLP), the task of text summarization plays a vital role in understanding textual content and producing concise summaries. Text summarization ...
Journal of Medical Internet Research

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

The model performance comparison involved the use of chain-of-thought and zero-shot prompting to analyze the text structure and content. Results: We used 428 diaries from 91 participants; GPT-3.5 fine ...