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 81–90 of 458 papers

Title	Date	Tasks	Status	Score
Context-Aware Emotion Recognition Networks	Aug 16, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available	5
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification	Jan 11, 2021	Causal Emotion EntailmentCausal Inference	CodeCode Available	5
Emotion Action Detection and Emotion Inference: the Task and Dataset	Mar 16, 2019	Action DetectionEmotion Classification	CodeCode Available	5
Speech Emotion Recognition Using Multi-hop Attention Mechanism	Apr 23, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available	5
Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset	Jul 27, 2023	Emotion Classification	CodeCode Available	5
Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language	Nov 1, 2021	ClassificationEmotion Classification	CodeCode Available	5
Enhancing Cognitive Models of Emotions with Representation Learning	Apr 20, 2021	Emotion ClassificationRepresentation Learning	CodeCode Available	5
Improved acoustic-to-articulatory inversion using representations from pretrained self-supervised learning models	Oct 30, 2022	Emotion ClassificationSelf-Supervised Learning	CodeCode Available	5
Inducing a Lexicon of Abusive Words â a Feature-Based Approach	Jun 1, 2018	Abusive Languagedomain classification	CodeCode Available	5
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos	Aug 3, 2022	Action LocalizationEmotion Classification	CodeCode Available	5

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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