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 161–170 of 458 papers

Title	Date	Tasks	Status	Hype
Nkululeko: A Tool For Rapid Speaker Characteristics Detection	Jun 1, 2022	Emotion Classificationregression	CodeCode Available	1
Analysing the Greek Parliament Records with Emotion Classification	May 24, 2022	ClassificationEmotion Classification	—Unverified	0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN	May 10, 2022	Brain Computer Interfacechannel selection	—Unverified	0
Transformer-based Architecture for Empathy Prediction and Emotion Classification	May 1, 2022	ClassificationEmotion Classification	—Unverified	0
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification	May 1, 2022	AttributeClassification	—Unverified	0
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network	May 1, 2022	Cross-Lingual Word EmbeddingsEmotion Classification	—Unverified	0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models	May 1, 2022	ClassificationEmotion Classification	—Unverified	0
IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection	May 1, 2022	ClassificationEmotion Classification	—Unverified	0
An Ensemble Approach to Detect Emotions at an Essay Level	May 1, 2022	Emotion Classification	CodeCode Available	0
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection	May 1, 2022	Emotion ClassificationPrediction	—Unverified	0

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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