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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 151–200 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
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
Lightweight Models for Multimodal Sequential Data—0
Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
An AutoML-based Approach to Multimodal Image Sentiment Analysis—0
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements—0
BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier—0
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language—0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis—0
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data—0
Gated Mechanism for Attention Based Multimodal Sentiment Analysis—0
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
Variational Fusion for Multimodal Sentiment Analysis—0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between ModalitiesCode0
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal BehaviorsCode0
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
Contextual Inter-modal Attention for Multi-modal Sentiment AnalysisCode0
Multimodal Language Analysis with Recurrent Multistage FusionCode0
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis—0
Polarity and Intensity: the Two Aspects of Sentiment Analysis—0
DNN Multimodal Fusion Techniques for Predicting Video Sentiment—0
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph—0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Efficient Low-rank Multimodal Fusion with Modality-Specific FactorsCode0
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselines—0
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement LearningCode0
Multi-attention Recurrent Network for Human Communication ComprehensionCode0
Benchmarking Multimodal Sentiment Analysis—0
Tensor Fusion Network for Multimodal Sentiment AnalysisCode0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
Select-Additive Learning: Improving Generalization in Multimodal Sentiment AnalysisCode0
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
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