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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

Showing 101125 of 202 papers

TitleStatusHype
Gated Mechanism for Attention Based Multimodal Sentiment Analysis0
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages0
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions0
Exploiting Diverse Feature for Multimodal Sentiment Analysis0
An AutoML-based Approach to Multimodal Image Sentiment Analysis0
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis0
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation0
Explainable Multimodal Sentiment Analysis on Bengali Memes0
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis0
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis0
Emoji Driven Crypto Assets Market Reactions0
Multimodal fusion via cortical network inspired losses0
Dynamic Multimodal Sentiment Analysis: Leveraging Cross-Modal Attention for Enabled Classification0
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam0
DNN Multimodal Fusion Techniques for Predicting Video Sentiment0
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph0
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space0
Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion Recognition0
DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis0
Multimodal Sentiment Analysis0
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselines0
Multimodal Sentiment Analysis: A Survey0
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