SOTAVerified

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 201–250 of 458 papers

TitleStatusHype
VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Leveraging BERT and Stacked Embeddings—0
Exploiting Narrative Context and A Priori Knowledge of Categories in Textual Emotion Classification—0
Exploratory Analysis of Social Media Prior to a Suicide Attempt—0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Exploring Fine-Grained Emotion Detection in Tweets—0
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis—0
Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age—0
Topic Bias in Emotion Classification—0
Extending RNN-T-based speech recognition systems with emotion and language classification—0
Extending the EmotiNet Knowledge Base to Improve the Automatic Detection of Implicitly Expressed Emotions from Text—0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
Features Extraction Based on an Origami Representation of 3D Landmarks—0
A CCG-based Approach to Fine-Grained Sentiment Analysis—0
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification—0
Towards adversarial learning of speaker-invariant representation for speech emotion recognition—0
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation—0
Flood of Techniques and Drought of Theories: Emotion Mining in Disasters—0
FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework—0
Generating a Word-Emotion Lexicon from \#Emotional Tweets—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
An Explainable Fast Deep Neural Network for Emotion Recognition—0
A new model for the implementation of positive and negative emotion recognition—0
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception—0
An Event-comment Social Media Corpus for Implicit Emotion Analysis—0
Group Visual Sentiment Analysis—0
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets—0
Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023—0
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles—0
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter—0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN—0
Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction—0
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction—0
Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach—0
IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU Network—0
I Know How You Feel: Emotion Recognition with Facial Landmarks—0
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes—0
Towards Emotion Recognition: A Persistent Entropy Application—0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification—0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora—0
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network—0
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge—0
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All datasetsCMU-MOSEISemEval 2018 Task 1E-cEWALKMFAROCStoriesArmanEmoCAER-DynamicRAVDESSShortPersianEmo

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MARLIN (ViT-L)Accuracy80.63—Unverified
2MARLIN (ViT-B)Accuracy80.6—Unverified
3MARLIN (ViT-S)Accuracy80.38—Unverified
4ConCluGenAccuracy66.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpanEmoAccuracy0.6—Unverified
2BERT+DKAccuracy0.59—Unverified
3BERT-GCNAccuracy0.59—Unverified
4Transformer (finetune)Macro-F10.56—Unverified
#ModelMetricClaimedVerifiedStatus
1ProxEmo (ours)Accuracy82.4—Unverified
2STEP [bhattacharya2019step]Accuracy78.24—Unverified
3Baseline (Vanilla LSTM) [Ewalk]Accuracy55.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MLKNNF-F1 score (Comb.)0.34—Unverified
2CC - XGBF-F1 score (Comb.)0.33—Unverified
#ModelMetricClaimedVerifiedStatus
1Semi-supervisionF165.88—Unverified
2NPN + Explanation TrainingF130.29—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep ParsBERTMacro F10.65—Unverified
#ModelMetricClaimedVerifiedStatus
1CAERNetAccuracy77.04—Unverified
#ModelMetricClaimedVerifiedStatus
1ERANN-0-4Top-1 Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep ParsBERTMacro F10.71—Unverified