Open access
2026
QBERT-LSTM: Quantum Intelligence-Based Mental Health Sentiment Analysis Using Web Scraping
A hybrid framework for sentiment classification from text, termed QBERT-LSTM, which integrates quantum-enhanced bidirectional encoder representations from transformers (QBERT) with long short-term memory (LSTM) networks, which excel at capturing global context and enhances sequential patterns and temporal features.
Najnin Sultana Shirin, Md. Aminul Islam, Maria Akter Abin et al.
· IEEE Access · 0 citations