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 171–180 of 458 papers

Title	Date	Tasks	Status
A Question Answering Approach to Emotion Cause Extraction	Aug 18, 2017	Emotion Cause ExtractionEmotion Classification	—Unverified
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning	Aug 23, 2019	ClassificationEmotion Classification	—Unverified
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition	Sep 20, 2021	Contrastive LearningEEG	—Unverified
A Question Answering Approach for Emotion Cause Extraction	Sep 1, 2017	Emotion Cause ExtractionEmotion Classification	—Unverified
EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet	Jun 1, 2018	Collaborative FilteringEmotion Classification	—Unverified
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages	Mar 28, 2022	DenoisingEmotion Classification	—Unverified
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model	Jun 17, 2021	Emotional Speech SynthesisEmotion Classification	—Unverified
Continuous Adversarial Text Representation Learning for Affective Recognition	Feb 28, 2025	Adversarial TextContrastive Learning	—Unverified
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models	May 1, 2022	ClassificationEmotion Classification	—Unverified
A Pre-trained Audio-Visual Transformer for Emotion Recognition	Jan 23, 2022	Emotion ClassificationEmotion Recognition	—Unverified

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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