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
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
Show:102550
← PrevPage 7 of 9Next →

No leaderboard results yet.