A Quantum-Inspired Residual Self-Attention Network for Multimodal Sentiment Analysis
QRSAN is presented, a quantum-inspired residual self-attention network that integrates an LSTM text encoder, modality-specific multilayer perceptrons for visual and acoustic inputs, normalized complex-valued encoding, a TFN-derived interaction expansion, real-valued residual self-attention, and classical projection-sco...