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 126–150 of 458 papers

TitleStatusHype
TONE: A 3-Tiered ONtology for Emotion analysisCode0
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning—0
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian TextsCode0
Topic Bias in Emotion Classification—0
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models—0
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning—0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Impact of time and note duration tokenizations on deep learning symbolic music modelingCode0
Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition—0
Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023—0
Leveraging Label Information for Multimodal Emotion Recognition—0
Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches—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
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
Automatic Emotion Experiencer 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