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 401–410 of 458 papers

Title	Date	Tasks	Status
Emotion Transfer Using Vector-Valued Infinite Task Learning	Feb 9, 2021	BIG-bench Machine LearningEmotion Classification	CodeCode Available
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression	Sep 11, 2019	Deep AttentionEmotion Classification	CodeCode Available
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models	Jun 6, 2023	Emotion ClassificationLinguistic Acceptability	CodeCode Available
Emotion Recognition from Speech	Dec 22, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available
Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models	Oct 22, 2020	DenoisingEmotion Classification	CodeCode Available
Minimax Filter: Learning to Preserve Privacy from Inference Attacks	Oct 12, 2016	ClassificationEmotion Classification	CodeCode Available
BYEL : Bootstrap Your Emotion Latent	Jul 20, 2022	Emotion ClassificationEmotion Recognition	CodeCode Available
MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs	May 30, 2025	Emotion ClassificationSentiment Analysis	CodeCode Available
Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language	Nov 1, 2021	ClassificationEmotion Classification	CodeCode Available
Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus	Oct 12, 2022	Emotion ClassificationSentiment Analysis	CodeCode Available

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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