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 61–70 of 458 papers

Title	Date	Tasks	Status
Automatically Classifying Emotions based on Text: A Comparative Exploration of Different Datasets	Feb 28, 2023	ClassificationData Augmentation	—Unverified
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs	Aug 31, 2018	Emotion ClassificationGeneral Classification	—Unverified
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content	Oct 4, 2024	Emotion ClassificationMachine Translation	—Unverified
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework	Mar 29, 2021	Action Unit DetectionEmotion Classification	—Unverified
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics	Oct 1, 2021	ClassificationEmotion Classification	—Unverified
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts	Jun 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction	Aug 3, 2018	Emotion ClassificationGeneral Classification	—Unverified
A Simple Attention-Based Mechanism for Bimodal Emotion Classification	Jun 28, 2024	ClassificationDeep Learning	—Unverified
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation	Jan 30, 2022	Emotion ClassificationEmotion Recognition	—Unverified
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets	Jun 1, 2018	BIG-bench Machine LearningClassification	—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