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 141–150 of 458 papers

Title	Date	Tasks	Status	Hype
Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus	Oct 12, 2022	Emotion ClassificationSentiment Analysis	CodeCode Available	0
Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora	Sep 14, 2022	Emotion ClassificationNatural Language Inference	CodeCode Available	1
Machine Learning For Classification Of Antithetical Emotional States	Sep 6, 2022	ClassificationEEG	—Unverified	0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure	Aug 31, 2022	channel selectionClassification	—Unverified	0
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data	Aug 17, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	0
KAM -- a Kernel Attention Module for Emotion Classification with EEG Data	Aug 17, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	0
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos	Aug 3, 2022	Action LocalizationEmotion Classification	CodeCode Available	0
Extending RNN-T-based speech recognition systems with emotion and language classification	Jul 28, 2022	Emotion ClassificationEmotion Recognition	—Unverified	0
ArmanEmo: A Persian Dataset for Text-based Emotion Detection	Jul 24, 2022	Emotion ClassificationTransfer Learning	CodeCode Available	0
BYEL : Bootstrap Your Emotion Latent	Jul 20, 2022	Emotion ClassificationEmotion Recognition	CodeCode Available	0

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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