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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 201–250 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
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Multitask Learning for Emotionally Analyzing Sexual Abuse DisclosuresCode0
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task ApproachCode1
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition—0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora—0
Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media—0
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction—0
Enhancing Cognitive Models of Emotions with Representation LearningCode0
Emotion Classification in a Resource Constrained Language Using Transformer-based ApproachCode1
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification—0
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?—0
Multi-Emotion Classification for Song Lyrics—0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networksCode0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networksCode0
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework—0
Real-Time Emotion Classification Using EEG Data Stream in E-Learning ContextsCode1
Emotion Transfer Using Vector-Valued Infinite Task LearningCode0
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework—0
SpanEmo: Casting Multi-label Emotion Classification as Span-predictionCode1
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study—0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Parsing Indian English News Headlines—0
Exploiting Narrative Context and A Priori Knowledge of Categories in Textual Emotion Classification—0
Emotion Classification by Jointly Learning to Lexiconize and Classify—0
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation—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