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 181–190 of 458 papers

Title	Date	Tasks	Status	Hype
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors	Mar 8, 2022	AttributeEmotion Classification	—Unverified	0
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss	Mar 4, 2022	ClassificationEmotion Classification	—Unverified	0
Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?	Feb 18, 2022	Emotion ClassificationEmotion Recognition	CodeCode Available	1
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition	Feb 11, 2022	Data AugmentationEEG	CodeCode Available	1
Spectro Temporal EEG Biomarkers For Binary Emotion Classification	Feb 2, 2022	ClassificationEEG	—Unverified	0
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation	Jan 30, 2022	Emotion ClassificationEmotion Recognition	—Unverified	0
Automated Feature Extraction on AsMap for Emotion Classification using EEG	Jan 28, 2022	Automated Feature EngineeringClassification	—Unverified	0
Domain-Invariant Representation Learning from EEG with Private Encoders	Jan 27, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	1
Learning to Compose Diversified Prompts for Image Emotion Classification	Jan 26, 2022	ClassificationEmotion Classification	—Unverified	0
A Pre-trained Audio-Visual Transformer for Emotion Recognition	Jan 23, 2022	Emotion ClassificationEmotion Recognition	—Unverified	0

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All datasets CMU-MOSEI SemEval 2018 Task 1E-c EWALK MFA ROCStories ArmanEmo CAER-Dynamic RAVDESS ShortPersianEmo

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MARLIN (ViT-L)	Accuracy	80.63	—	Unverified
2	MARLIN (ViT-B)	Accuracy	80.6	—	Unverified
3	MARLIN (ViT-S)	Accuracy	80.38	—	Unverified
4	ConCluGen	Accuracy	66.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpanEmo	Accuracy	0.6	—	Unverified
2	BERT+DK	Accuracy	0.59	—	Unverified
3	BERT-GCN	Accuracy	0.59	—	Unverified
4	Transformer (finetune)	Macro-F1	0.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ProxEmo (ours)	Accuracy	82.4	—	Unverified
2	STEP [bhattacharya2019step]	Accuracy	78.24	—	Unverified
3	Baseline (Vanilla LSTM) [Ewalk]	Accuracy	55.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MLKNN	F-F1 score (Comb.)	0.34	—	Unverified
2	CC - XGB	F-F1 score (Comb.)	0.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Semi-supervision	F1	65.88	—	Unverified
2	NPN + Explanation Training	F1	30.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Deep ParsBERT	Macro F1	0.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CAERNet	Accuracy	77.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ERANN-0-4	Top-1 Accuracy	74.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Deep ParsBERT	Macro F1	0.71	—	Unverified