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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 141–150 of 202 papers

TitleStatusHype
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning—0
Neural Dependency Coding inspired Multimodal Fusion—0
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Polarity and Intensity: the Two Aspects of Sentiment Analysis—0
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis—0
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment—0
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture—0
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis—0
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