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

Showing 276300 of 458 papers

TitleStatusHype
Semi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification0
MuSE: a Multimodal Dataset of Stressed Emotion0
An Event-comment Social Media Corpus for Implicit Emotion Analysis0
Korean-Specific Emotion Annotation Procedure Using N-Gram-Based Distant Supervision and Korean-Specific-Feature-Based Distant Supervision0
GoEmotions: A Dataset of Fine-Grained EmotionsCode1
Extending Adversarial Attacks to Produce Adversarial Class Probability DistributionsCode0
Cross-lingual Emotion Intensity PredictionCode0
Appraisal Theories for Emotion Classification in Text0
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English PoetryCode1
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification0
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition0
Facial Affect Recognition in the Wild Using Multi-Task Learning Convolutional NetworkCode0
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition0
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction0
Ensemble emotion recognizing with multiple modal physiological signals0
Emotion Recognition from SpeechCode0
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception0
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution NetworksCode0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Converting Sentiment Annotated Data to Emotion Annotated Data0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
The phonetic bases of vocal expressed emotion: natural versus acted0
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation0
Dimensional Emotion Detection from Categorical EmotionCode0
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Benchmark Results

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