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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 458 papers

TitleStatusHype
Speech Emotion Recognition with Multi-Task LearningCode1
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language RepresentationsCode1
BERT-like Pre-training for Symbolic Piano Music Classification TasksCode1
Twitter Sentiment AnalysisCode1
Efficient Speech Emotion Recognition Using Multi-Scale CNN and AttentionCode1
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task ApproachCode1
Emotion Classification in a Resource Constrained Language Using Transformer-based ApproachCode1
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
SpanEmo: Casting Multi-label Emotion Classification as Span-predictionCode1
Perception for Autonomous Systems (PAZ)Code1
Modeling Label Semantics for Predicting Emotional ReactionsCode1
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment SemanticsCode1
GoEmotions: A Dataset of Fine-Grained EmotionsCode1
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English PoetryCode1
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationCode1
DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsCode1
NonverbalTTS: A Public English Corpus of Text-Aligned Nonverbal Vocalizations with Emotion Annotations for Text-to-Speech—0
MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMsCode0
EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian—0
What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App ReviewsCode0
Emotion Classification In-Context in Spanish—0
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection—0
The Super Emotion Dataset—0
EmoGist: Efficient In-Context Learning for Visual Emotion Understanding—0
Show:102550
← PrevPage 2 of 19Next →
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