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 201250 of 458 papers

TitleStatusHype
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition0
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors0
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes0
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss0
Spectro Temporal EEG Biomarkers For Binary Emotion Classification0
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation0
Automated Feature Extraction on AsMap for Emotion Classification using EEG0
Learning to Compose Diversified Prompts for Image Emotion Classification0
A Pre-trained Audio-Visual Transformer for Emotion Recognition0
Adaptive Transfer Learning for Multi-Label Emotion Classification0
Emotion Intensity and its Control for Emotional Voice Conversion0
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition0
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 recognition0
Knowledge-guided Transformer for Joint Theme and Emotion Classification of Chinese Classical Poetry0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features0
Real-time Emotion and Gender Classification using Ensemble CNN0
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 Recognition0
Multi-task Voice Activated Framework using Self-supervised Learning0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition0
Uncovering the Limits of Text-based Emotion DetectionCode0
Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation0
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition0
Distributed Representations of Emotion Categories in Emotion Space0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description0
Emotion Recognition under Consideration of the Emotion Component Process Model0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model0
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction0
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-TrainingCode0
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning0
Multitask Learning for Emotionally Analyzing Sexual Abuse DisclosuresCode0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots0
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model0
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora0
Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media0
Enhancing Cognitive Models of Emotions with Representation LearningCode0
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction0
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification0
Multi-Emotion Classification for Song Lyrics0
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks0
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework0
Emotion Transfer Using Vector-Valued Infinite Task LearningCode0
Show:102550
← PrevPage 5 of 10Next →

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