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 241–250 of 458 papers

Title	Date	Tasks	Status
Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach	Apr 6, 2024	EEGEmotion Classification	—Unverified
IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU Network	Dec 1, 2017	Document ClassificationEmotion Classification	—Unverified
I Know How You Feel: Emotion Recognition with Facial Landmarks	Apr 22, 2018	ClassificationEmotion Classification	—Unverified
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes	Mar 8, 2022	Emotion ClassificationResponse Generation	—Unverified
Towards Emotion Recognition: A Persistent Entropy Application	Nov 21, 2018	ClassificationEmotion Classification	—Unverified
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation	Aug 5, 2021	Emotion ClassificationEmotion Recognition	—Unverified
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification	Apr 2, 2024	ClassificationEmotion Classification	—Unverified
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora	May 5, 2021	ClusteringDecision Making	—Unverified
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network	Oct 1, 2018	ClassificationEmotion Classification	—Unverified
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge	Nov 1, 2019	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