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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 151–200 of 202 papers

TitleStatusHype
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation—0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors—0
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
Sentiment Analysis of Fashion Related Posts in Social Media—0
Utterance-Level Multimodal Sentiment Analysis—0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis—0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Variational Fusion for Multimodal Sentiment Analysis—0
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data—0
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis—0
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations—0
Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis—0
BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier—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
Benchmarking Multimodal Sentiment Analysis—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—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
BACN: Bi-direction Attention Capsule-based Network for Multimodal Sentiment Analysis—0
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis—0
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences—0
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis—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
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey—0
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis—0
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis—0
Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation—0
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—0
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
Lightweight Models for Multimodal Sequential Data—0
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability—0
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis—0
Improving Multimodal fusion via Mutual Dependency Maximisation—0
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation—0
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data—0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects—0
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