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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 151–175 of 202 papers

TitleStatusHype
An AutoML-based Approach to Multimodal Image Sentiment Analysis—0
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment AnalysisCode1
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements—0
MSAF: Multimodal Split Attention FusionCode1
SWAFN: Sentimental Words Aware Fusion Network for Multimodal Sentiment AnalysisCode1
BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier—0
Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature FusionCode1
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language SequencesCode1
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment AnalysisCode1
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion RecognitionCode1
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language—0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis—0
Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multimodal Speech Emotion RecognitionCode1
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data—0
Multilogue-Net: A Context-Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and WorkshopCode1
Gated Mechanism for Attention Based Multimodal Sentiment Analysis—0
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
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