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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 101–150 of 202 papers

TitleStatusHype
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations—0
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment AnalysisCode1
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression EstimationCode1
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
Analyzing Modality Robustness in Multimodal Sentiment AnalysisCode1
Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis—0
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages—0
Multimodal fusion via cortical network inspired losses—0
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing ModalitiesCode1
M-SENA: An Integrated Platform for Multimodal Sentiment AnalysisCode2
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis—0
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment AnalysisCode1
Analyzing Modality Robustness in Multimodal Sentiment Analysis—0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis—0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors—0
Generalizable Multi-linear Attention Network—0
Graph-based Fine-grained Multimodal Attention Mechanism for Sentiment Analysis—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
BACN: Bi-direction Attention Capsule-based Network for Multimodal Sentiment Analysis—0
Sentiment Analysis of Fashion Related Posts in Social Media—0
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma DistributionsCode1
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis—0
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis—0
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
TEASEL: A Transformer-Based Speech-Prefixed Language ModelCode1
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis—0
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment AnalysisCode1
Improving Multimodal fusion via Mutual Dependency Maximisation—0
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space TranslationCode1
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis—0
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion NetworkCode1
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment AnalysisCode1
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation ToolboxCode1
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
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and StressCode1
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
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