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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 151–200 of 458 papers

TitleStatusHype
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content—0
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework—0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics—0
CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons—0
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English—0
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts—0
A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction—0
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition—0
Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition—0
A Simple Attention-Based Mechanism for Bimodal Emotion Classification—0
Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding—0
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers—0
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition—0
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study—0
A CCG-based Approach to Fine-Grained Sentiment Analysis—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation—0
Corpus Fusion for Emotion Classification—0
Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video—0
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts—0
Converting Sentiment Annotated Data to Emotion Annotated Data—0
A Question Answering Approach to Emotion Cause Extraction—0
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
A Question Answering Approach for Emotion Cause Extraction—0
EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet—0
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages—0
EMTC: Multilabel Corpus in Movie Domain for Emotion Analysis in Conversational Text—0
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
Continuous Adversarial Text Representation Learning for Affective Recognition—0
Enhanced Multimodal Representation Learning with Cross-modal KD—0
A Pre-trained Audio-Visual Transformer for Emotion Recognition—0
All rivers run into the sea: Unified Modality Brain-like Emotional Central Mechanism—0
Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning—0
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification—0
Ensemble emotion recognizing with multiple modal physiological signals—0
Ensemble of Hankel Matrices for Face Emotion Recognition—0
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors—0
EmoTweet-28: A Fine-Grained Emotion Corpus for Sentiment Analysis—0
Evaluating the Effectiveness of Data Augmentation for Emotion Classification in Low-Resource Settings—0
Event Based Emotion Classification for News Articles—0
Experiencer-Specific Emotion and Appraisal Prediction—0
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?—0
Experimenting with Distant Supervision for Emotion Classification—0
Exploiting Community Emotion for Microblog Event Detection—0
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification—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