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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
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation—0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors—0
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition—0
Utterance-Level Multimodal Sentiment Analysis—0
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
Sentiment Analysis of Fashion Related Posts in Social Media—0
Variational Fusion for Multimodal Sentiment Analysis—0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis—0
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