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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 1–50 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
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Multimodal Sentiment Analysis Based on BERT and ResNet—0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions—0
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning—0
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment AnalysisCode2
Towards Robust Multimodal Sentiment Analysis with Incomplete DataCode2
Recent Trends of Multimodal Affective Computing: A Survey from NLP PerspectiveCode2
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis—0
Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant LearningCode1
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis—0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
Sentiment Reasoning for HealthcareCode3
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis—0
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion RecognitionCode2
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey—0
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionCode0
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment—0
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis—0
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment AnalysisCode1
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space—0
TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
Emoji Driven Crypto Assets Market Reactions—0
Sentiment-enhanced Graph-based Sarcasm Explanation in DialogueCode0
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