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

Showing 376400 of 458 papers

TitleStatusHype
SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification0
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus0
Sentence-level Emotion Classification with Label and Context Dependence0
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model0
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition0
Sentiment Analysis in Twitter Social Network Centered on Cryptocurrencies Using Machine Learning0
Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media0
SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment0
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model0
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation0
Shallow over Deep Neural Networks: A empirical analysis for human emotion classification using audio data0
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians0
SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification0
SINAI at SemEval-2018 Task 1: Emotion Recognition in Tweets0
SINAI at SemEval-2019 Task 3: Using affective features for emotion classification in textual conversations0
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification0
A Simple Attention-Based Mechanism for Bimodal Emotion Classification0
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics0
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG0
A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon0
A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild0
Attention Driven Fusion for Multi-Modal Emotion Recognition0
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition0
Song Emotion Classification of Lyrics with Out-of-Domain Data under Label Scarcity0
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Benchmark Results

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