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 126–150 of 202 papers

TitleStatusHype
Multimodal Sentiment Analysis Based on BERT and ResNet—0
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Multimodal Sentiment Analysis based on Video and Audio Inputs—0
Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models—0
Multimodal Sentiment Analysis: Perceived vs Induced Sentiments—0
A Multimodal Sentiment Dataset for Video Recommendation—0
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis—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
Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs—0
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis—0
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning—0
Neural Dependency Coding inspired Multimodal Fusion—0
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Polarity and Intensity: the Two Aspects of Sentiment Analysis—0
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis—0
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment—0
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture—0
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis—0
Show:102550
← PrevPage 6 of 9Next →

No leaderboard results yet.