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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 201–225 of 458 papers

TitleStatusHype
Multi-task Voice Activated Framework using Self-supervised Learning—0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics—0
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical NetworksCode1
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text ClassificationCode1
Speech Emotion Recognition with Multi-Task LearningCode1
Uncovering the Limits of Text-based Emotion DetectionCode0
Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification—0
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language RepresentationsCode1
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition—0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
Distributed Representations of Emotion Categories in Emotion Space—0
Emotion Recognition under Consideration of the Emotion Component Process Model—0
BERT-like Pre-training for Symbolic Piano Music Classification TasksCode1
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
Twitter Sentiment AnalysisCode1
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-TrainingCode0
Efficient Speech Emotion Recognition Using Multi-Scale CNN and AttentionCode1
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Multitask Learning for Emotionally Analyzing Sexual Abuse DisclosuresCode0
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model—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