Attention-based fusion for multimodal sentiment analysis using emotion mapping from behavioral, physiological, and textual signals

Abstract Multimodal Sentiment Analysis (MSA) involves integrating diverse data modalities—such as physiological signals, speech, and textual input—to predict human emotions with higher reliability than unimodal approaches. However, key challenges persist in modeling cross-modal interactions, handlin...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Poorva Tiwari, Aravinth J
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2026-05-01
Serier:	Discover Applied Sciences
Fag:	Multimodal sentiment analysis Deep learning Physiological signals Behavioral signals Emotion recognition Feature fusion
Online adgang:	https://doi.org/10.1007/s42452-026-08733-8
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!