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 261–270 of 458 papers

Title	Date	Tasks	Status
Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions	Nov 17, 2020	Domain AdaptationEmotion Classification	—Unverified
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?	Nov 3, 2020	BIG-bench Machine LearningClassification	—Unverified
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition	Oct 30, 2020	EEGElectroencephalogram (EEG)	—Unverified
Speech-Based Emotion Recognition using Neural Networks and Information Visualization	Oct 28, 2020	BIG-bench Machine LearningEmotion Classification	CodeCode Available
Emotion recognition by fusing time synchronous and time asynchronous representations	Oct 27, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models	Oct 22, 2020	DenoisingEmotion Classification	CodeCode Available
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures	Oct 13, 2020	Emotion ClassificationEmotion Recognition	—Unverified
Investigating Emotion-Color Association in Deep Neural Networks	Oct 9, 2020	Emotion Classification	—Unverified
Anubhuti -- An annotated dataset for emotional analysis of Bengali short stories	Oct 6, 2020	ArticlesEmotion Classification	—Unverified
Attention Driven Fusion for Multi-Modal Emotion Recognition	Sep 23, 2020	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