Multimodal sentiment analysis using hierarchical fusion with context modeling

• Main Authors: Majumder, Navonil, Hazarika, Devamanyu, Gelbukh, Alexander, Cambria, Erik, Poria, Soujanya
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Multimodal Fusion; Sentiment Analysis
• Online Access: https://hdl.handle.net/10356/139583
• Institution: Nanyang Technological University

Multimodal sentiment analysis is a very actively growing field of research. A promising area of opportunity in this field is to improve the multimodal fusion mechanism. We present a novel feature fusion strategy that proceeds in a hierarchical fashion, first fusing the modalities two in two and only...