Multimodal sentiment analysis using hierarchical fusion with context modeling
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...
Main Authors: | Majumder, Navonil, Hazarika, Devamanyu, Gelbukh, Alexander, Cambria, Erik, Poria, Soujanya |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/139583 |
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