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 251–300 of 458 papers

TitleStatusHype
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition—0
Temporal Multimodal Fusion for Video Emotion Classification in the Wild—0
The Many Moods of Emotion—0
The phonetic bases of vocal expressed emotion: natural versus acted—0
The Power of Properties: Uncovering the Influential Factors in Emotion Classification—0
The Super Emotion Dataset—0
THU\_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN—0
Topic Bias in Emotion Classification—0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition—0
Towards adversarial learning of speaker-invariant representation for speech emotion recognition—0
Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach—0
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes—0
Towards Emotion Recognition: A Persistent Entropy Application—0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora—0
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation—0
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations—0
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study—0
Transformer-based Architecture for Empathy Prediction and Emotion Classification—0
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition—0
Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer—0
Two-View Label Propagation to Semi-supervised Reader Emotion Classification—0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification—0
Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories—0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages—0
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection—0
Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition—0
Unveiling Emotions from EEG: A GRU-Based Approach—0
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing—0
UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings—0
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study—0
VEMOCLAP: A video emotion classification web application—0
Versatile audio-visual learning for emotion recognition—0
VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Leveraging BERT and Stacked Embeddings—0
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction—0
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations—0
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
YNU-HPCC at SemEval-2022 Task 5: Multi-Modal and Multi-label Emotion Classification Based on LXMERT—0
Features Extraction Based on an Origami Representation of 3D Landmarks—0
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation—0
Flood of Techniques and Drought of Theories: Emotion Mining in Disasters—0
FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework—0
Generating a Word-Emotion Lexicon from \#Emotional Tweets—0
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception—0
Group Visual Sentiment Analysis—0
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
Show:102550
← PrevPage 6 of 10Next →
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