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 251–260 of 458 papers

Title	Date	Tasks	Status
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework	Feb 3, 2021	ClassificationEmotion Classification	—Unverified
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification	Jan 11, 2021	Causal Emotion EntailmentCausal Inference	CodeCode Available
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study	Dec 16, 2020	Emotion ClassificationEmotion Recognition	—Unverified
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets	Dec 10, 2020	Deep LearningEmotion Classification	—Unverified
Exploiting Narrative Context and A Priori Knowledge of Categories in Textual Emotion Classification	Dec 1, 2020	Emotion ClassificationMulti-Task Learning	—Unverified
Emotion Classification by Jointly Learning to Lexiconize and Classify	Dec 1, 2020	ClassificationEmotion Classification	—Unverified
Parsing Indian English News Headlines	Dec 1, 2020	Emotion ClassificationWorld Knowledge	—Unverified
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation	Nov 25, 2020	Domain AdaptationEmotion Classification	—Unverified
Investigating Emotion-Color Association in Deep Neural Networks	Nov 22, 2020	Emotional IntelligenceEmotion Classification	CodeCode Available
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification	Nov 20, 2020	Emotion ClassificationGeneral 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