SOTAVerified

Emotion Classification

Emotion classification, or emotion categorization, is the task of recognising emotions to classify them into the corresponding category. Given an input, classify it as 'neutral or no emotion' or as one, or more, of several given emotions that best represent the mental state of the subject's facial expression, words, and so on. Some example benchmarks include ROCStories, Many Faces of Anger (MFA), and GoEmotions. Models can be evaluated using metrics such as the Concordance Correlation Coefficient (CCC) and the Mean Squared Error (MSE).

Papers

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Showing 151–200 of 458 papers

TitleStatusHype
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion RecognitionCode1
SwahBERT: Language Model of Swahili—0
YNU-HPCC at SemEval-2022 Task 5: Multi-Modal and Multi-label Emotion Classification Based on LXMERT—0
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision—0
Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction—0
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep LearningCode1
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning—0
AHD ConvNet for Speech Emotion Classification—0
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification—0
Nkululeko: A Tool For Rapid Speaker Characteristics DetectionCode1
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts—0
Analysing the Greek Parliament Records with Emotion Classification—0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN—0
IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection—0
Transformer-based Architecture for Empathy Prediction and Emotion Classification—0
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection—0
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification—0
An Ensemble Approach to Detect Emotions at an Essay LevelCode0
None Class Ranking Loss for Document-Level Relation ExtractionCode1
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
Leveraging Emotion-specific Features to Improve Transformer Performance for Emotion Classification—0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages—0
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations—0
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition—0
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations—0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition—0
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes—0
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors—0
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss—0
Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?Code1
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion RecognitionCode1
Spectro Temporal EEG Biomarkers For Binary Emotion Classification—0
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation—0
Automated Feature Extraction on AsMap for Emotion Classification using EEG—0
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Learning to Compose Diversified Prompts for Image Emotion Classification—0
A Pre-trained Audio-Visual Transformer for Emotion Recognition—0
Adaptive Transfer Learning for Multi-Label Emotion Classification—0
Emotion Intensity and its Control for Emotional Voice Conversion—0
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition—0
The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild)Code0
Representation learning through cross-modal conditional teacher-student training for speech emotion recognition—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
Knowledge-guided Transformer for Joint Theme and Emotion Classification of Chinese Classical Poetry—0
Real-time Emotion and Gender Classification using Ensemble CNN—0
Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary LanguageCode0
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition—0
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All datasetsCMU-MOSEISemEval 2018 Task 1E-cEWALKMFAROCStoriesArmanEmoCAER-DynamicRAVDESSShortPersianEmo

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MARLIN (ViT-L)Accuracy80.63—Unverified
2MARLIN (ViT-B)Accuracy80.6—Unverified
3MARLIN (ViT-S)Accuracy80.38—Unverified
4ConCluGenAccuracy66.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpanEmoAccuracy0.6—Unverified
2BERT+DKAccuracy0.59—Unverified
3BERT-GCNAccuracy0.59—Unverified
4Transformer (finetune)Macro-F10.56—Unverified
#ModelMetricClaimedVerifiedStatus
1ProxEmo (ours)Accuracy82.4—Unverified
2STEP [bhattacharya2019step]Accuracy78.24—Unverified
3Baseline (Vanilla LSTM) [Ewalk]Accuracy55.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MLKNNF-F1 score (Comb.)0.34—Unverified
2CC - XGBF-F1 score (Comb.)0.33—Unverified
#ModelMetricClaimedVerifiedStatus
1Semi-supervisionF165.88—Unverified
2NPN + Explanation TrainingF130.29—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep ParsBERTMacro F10.65—Unverified
#ModelMetricClaimedVerifiedStatus
1CAERNetAccuracy77.04—Unverified
#ModelMetricClaimedVerifiedStatus
1ERANN-0-4Top-1 Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep ParsBERTMacro F10.71—Unverified