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

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Showing 151–200 of 458 papers

TitleStatusHype
A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero ShotCode0
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation—0
Versatile audio-visual learning for emotion recognition—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition—0
A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild—0
Automatically Classifying Emotions based on Text: A Comparative Exploration of Different Datasets—0
NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion AnalysisCode0
Cluster-based Deep Ensemble Learning for Emotion Classification in Internet Memes—0
See Your Heart: Psychological states Interpretation through Visual Creations—0
Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN—0
DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition—0
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods—0
Is Style All You Need? Dependencies Between Emotion and GST-based Speaker RecognitionCode0
Improved acoustic-to-articulatory inversion using representations from pretrained self-supervised learning modelsCode0
Experiencer-Specific Emotion and Appraisal Prediction—0
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis—0
Transformer-based Text Classification on Unified Bangla Multi-class Emotion CorpusCode0
Machine Learning For Classification Of Antithetical Emotional States—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG DataCode0
KAM -- a Kernel Attention Module for Emotion Classification with EEG DataCode0
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in VideosCode0
Extending RNN-T-based speech recognition systems with emotion and language classification—0
ArmanEmo: A Persian Dataset for Text-based Emotion DetectionCode0
BYEL : Bootstrap Your Emotion LatentCode0
YNU-HPCC at SemEval-2022 Task 5: Multi-Modal and Multi-label Emotion Classification Based on LXMERT—0
SwahBERT: Language Model of Swahili—0
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision—0
Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction—0
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning—0
AHD ConvNet for Speech Emotion Classification—0
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts—0
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification—0
Analysing the Greek Parliament Records with Emotion Classification—0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN—0
IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection—0
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection—0
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification—0
An Ensemble Approach to Detect Emotions at an Essay LevelCode0
Transformer-based Architecture for Empathy Prediction and Emotion Classification—0
Leveraging Emotion-specific Features to Improve Transformer Performance for Emotion Classification—0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages—0
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations—0
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition—0
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations—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