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 321–330 of 458 papers

Title	Date	Tasks	Status
Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer	Apr 26, 2024	Emotion ClassificationEmotion Recognition	—Unverified
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency	Oct 25, 2019	Emotion ClassificationStyle Transfer	—Unverified
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition	Oct 30, 2020	EEGElectroencephalogram (EEG)	—Unverified
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction	Jun 17, 2021	Common Sense ReasoningEmotion Cause Extraction	—Unverified
Two-View Label Propagation to Semi-supervised Reader Emotion Classification	Dec 1, 2016	ClassificationEmotion Classification	—Unverified
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets	Jun 1, 2018	BIG-bench Machine LearningClassification	—Unverified
Multi-task Voice Activated Framework using Self-supervised Learning	Oct 3, 2021	Emotion ClassificationKeyword Spotting	—Unverified
MuSE: a Multimodal Dataset of Stressed Emotion	May 1, 2020	Emotion ClassificationGeneral Classification	—Unverified
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning	Jun 4, 2021	BIG-bench Machine LearningEmotion Classification	—Unverified
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification	Jun 1, 2018	ClassificationEmotion Classification	—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