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 21–30 of 458 papers

Title	Date	Tasks	Status	Hype	Score
BERT-like Pre-training for Symbolic Piano Music Classification Tasks	Jul 12, 2021	ClassificationEmotion Classification	CodeCode Available	1	5
Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech	Nov 24, 2023	Dimensionality ReductionEmotion Classification	CodeCode Available	1	5
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations	Sep 1, 2021	Emotion ClassificationLanguage Modeling	CodeCode Available	1	5
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach	Apr 17, 2021	ClassificationEmotion Classification	CodeCode Available	1	5
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations	Nov 1, 2018	Emotion ClassificationEmotion Recognition in Conversation	CodeCode Available	1	5
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation	Aug 30, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available	1	5
Domain-Invariant Representation Learning from EEG with Private Encoders	Jan 27, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	1	5
Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention	Jun 8, 2021	Emotion ClassificationEmotion Recognition	CodeCode Available	1	5
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition	Jan 14, 2025	Deep LearningEmotion Classification	CodeCode Available	1	5
Perception for Autonomous Systems (PAZ)	Oct 27, 2020	2D Object Detection6D Pose Estimation	CodeCode Available	1	5

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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