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Multimodal Sentiment Analysis

Multimodal sentiment analysis is the task of performing sentiment analysis with multiple data sources - e.g. a camera feed of someone's face and their recorded speech.

( Image credit: ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection )

Papers

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Showing 151–160 of 202 papers

TitleStatusHype
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Neural Dependency Coding inspired Multimodal Fusion—0
A Multimodal Sentiment Dataset for Video Recommendation—0
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis—0
Improving Multimodal fusion via Mutual Dependency Maximisation—0
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis—0
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis—0
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects—0
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