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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

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Showing 1–25 of 202 papers

TitleStatusHype
CAtCh: Cognitive Assessment through Cookie ThiefCode0
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability—0
Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion Recognition—0
Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models—0
Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture—0
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs—0
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis—0
DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis—0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems—0
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion RecognitionCode1
LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment ClassifierCode0
Multi-Modality Collaborative Learning for Sentiment AnalysisCode1
Dynamic Multimodal Sentiment Analysis: Leveraging Cross-Modal Attention for Enabled Classification—0
Modality-Invariant Bidirectional Temporal Representation Distillation Network for Missing Multimodal Sentiment Analysis—0
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition—0
DLF: Disentangled-Language-Focused Multimodal Sentiment AnalysisCode2
Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment AnalysisCode1
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content—0
Multimodal Sentiment Analysis based on Video and Audio Inputs—0
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Multimodal Sentiment Analysis Based on BERT and ResNet—0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions—0
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