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 141–150 of 202 papers

TitleStatusHype
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data—0
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis—0
Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis—0
Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network—0
TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis—0
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models—0
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements—0
TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems—0
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning—0
Toward Robust Multimodal Learning using Multimodal Foundational Models—0
Show:102550
← PrevPage 15 of 21Next →

No leaderboard results yet.