SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 202 papers

TitleStatusHype
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data—0
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects—0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis—0
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Utterance-Level Multimodal Sentiment Analysis—0
Variational Fusion for Multimodal Sentiment Analysis—0
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis—0
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach—0
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language—0
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs—0
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
Neural Dependency Coding inspired Multimodal Fusion—0
Polarity and Intensity: the Two Aspects of Sentiment Analysis—0
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Show:102550
← PrevPage 7 of 9Next →

No leaderboard results yet.