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 326–350 of 458 papers

Title	Date	Tasks	Status	Hype
Speech Emotion Recognition Using Multi-hop Attention Mechanism	Apr 23, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available	0
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis	Apr 5, 2019	Emotion ClassificationEmotion Recognition	—Unverified	0
Towards adversarial learning of speaker-invariant representation for speech emotion recognition	Mar 22, 2019	ClassificationEmotion Classification	—Unverified	0
Emotion Action Detection and Emotion Inference: the Task and Dataset	Mar 16, 2019	Action DetectionEmotion Classification	CodeCode Available	0
Multimodal Emotion Classification	Mar 13, 2019	ClassificationEmotion Classification	—Unverified	0
ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN	Feb 21, 2019	Emotion ClassificationGeneral Classification	CodeCode Available	0
Features Extraction Based on an Origami Representation of 3D Landmarks	Dec 12, 2018	ClassificationEmotion Classification	—Unverified	0
Practical Text Classification With Large Pre-Trained Language Models	Dec 4, 2018	ClassificationEmotion Classification	CodeCode Available	0
Towards Emotion Recognition: A Persistent Entropy Application	Nov 21, 2018	ClassificationEmotion Classification	—Unverified	0
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations	Nov 1, 2018	Emotion ClassificationEmotion Recognition in Conversation	CodeCode Available	1
The Many Moods of Emotion	Oct 31, 2018	Emotion ClassificationFacial expression generation	—Unverified	0
Classifying and Visualizing Emotions with Emotional DAN	Oct 23, 2018	ClassificationEmotion Classification	CodeCode Available	0
Multimodal Speech Emotion Recognition Using Audio and Text	Oct 10, 2018	Emotion ClassificationEmotion Recognition	CodeCode Available	0
BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification	Oct 1, 2018	Emotion ClassificationEmotion Recognition	CodeCode Available	0
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification	Oct 1, 2018	Emotion ClassificationGeneral Classification	—Unverified	0
SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification	Oct 1, 2018	Emotion ClassificationEmotion Recognition	—Unverified	0
Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis	Oct 1, 2018	Emotion ClassificationEmotion Recognition	—Unverified	0
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning	Oct 1, 2018	ClassificationEmotion Classification	CodeCode Available	0
Disney at IEST 2018: Predicting Emotions using an Ensemble	Oct 1, 2018	Emotion ClassificationLanguage Modeling	—Unverified	0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets	Oct 1, 2018	Common Sense ReasoningEmotion Classification	—Unverified	0
Joint Learning for Emotion Classification and Emotion Cause Detection	Oct 1, 2018	ClassificationEmotion Classification	—Unverified	0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking	Oct 1, 2018	Common Sense ReasoningEmotion Classification	—Unverified	0
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network	Oct 1, 2018	ClassificationEmotion Classification	—Unverified	0
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition	Sep 13, 2018	Emotion ClassificationEmotion Recognition	CodeCode Available	0
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification	Sep 3, 2018	Emotion ClassificationGeneral Classification	CodeCode Available	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