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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 111–120 of 458 papers

Title	Date	Tasks	Status	Hype
Unveiling Emotions from EEG: A GRU-Based Approach	Jul 20, 2023	EEGEmotion Classification	—Unverified	0
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition	Jul 6, 2023	EEGEEG Emotion Recognition	—Unverified	0
Emotion Analysis of Tweets Banning Education in Afghanistan	Jun 28, 2023	BenchmarkingEmotion Classification	—Unverified	0
Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification	Jun 26, 2023	ClassificationEmotion Classification	CodeCode Available	1
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers	Jun 23, 2023	Emotion ClassificationEmotion Recognition	—Unverified	0
Enhanced Multimodal Representation Learning with Cross-modal KD	Jun 13, 2023	Contrastive LearningEmotion Classification	—Unverified	0
Emotion Detection from EEG using Transfer Learning	Jun 9, 2023	Data AugmentationEEG	—Unverified	0
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models	Jun 6, 2023	Emotion ClassificationLinguistic Acceptability	CodeCode Available	0
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals	Jun 5, 2023	Emotion ClassificationEmotion Recognition	—Unverified	0
Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis	Jun 3, 2023	ARCEmotion Classification	CodeCode Available	1

Show:10 25 50

← PrevPage 12 of 46Next →

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