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 101–125 of 458 papers

TitleStatusHype
Impact of time and note duration tokenizations on deep learning symbolic music modelingCode0
EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature TemplateCode1
Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition—0
Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023—0
Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches—0
Leveraging Label Information for Multimodal Emotion Recognition—0
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study—0
Measure of Uncertainty in Human Emotions—0
VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Leveraging BERT and Stacked Embeddings—0
Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music DatasetCode0
Unveiling Emotions from EEG: A GRU-Based Approach—0
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition—0
Emotion Analysis of Tweets Banning Education in Afghanistan—0
Label-Aware Hyperbolic Embeddings for Fine-grained Emotion ClassificationCode1
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers—0
Enhanced Multimodal Representation Learning with Cross-modal KD—0
Emotion Detection from EEG using Transfer Learning—0
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language ModelsCode0
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals—0
Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment AnalysisCode1
Automatic Emotion Experiencer Recognition—0
A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero ShotCode0
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation—0
Versatile audio-visual learning for emotion recognition—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal 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