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 151–160 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
Show:102550
← PrevPage 16 of 21Next →

No leaderboard results yet.