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 341–350 of 458 papers

Title	Date	Tasks	Status
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks	Jul 1, 2020	Emotion ClassificationRepresentation Learning	—Unverified
Universal Joy A Data Set and Results for Classifying Emotions Across Languages	Apr 1, 2021	DiversityEmotion Classification	—Unverified
Objective Human Affective Vocal Expression Detection and Automatic Classification with Stochastic Models and Learning Systems	Oct 4, 2019	ClassificationEmotion Classification	—Unverified
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models	Feb 14, 2024	Adversarial AttackClassification	—Unverified
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition	Jan 21, 2025	Emotion ClassificationEmotion Recognition	—Unverified
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures	Oct 13, 2020	Emotion ClassificationEmotion Recognition	—Unverified
Parsing Indian English News Headlines	Dec 1, 2020	Emotion ClassificationWorld Knowledge	—Unverified
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection	May 22, 2025	Emotion Classification	—Unverified
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification	Mar 13, 2024	DenoisingEmotion Classification	—Unverified
Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition	Sep 22, 2023	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