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 201250 of 458 papers

TitleStatusHype
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking0
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification0
A Novel Approach for Effective Learning in Low Resourced Scenarios0
A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions0
Anubhuti -- An annotated dataset for emotional analysis of Bengali short stories0
A Parallel Corpus of Music and Lyrics Annotated with Emotions0
Appraisal Theories for Emotion Classification in Text0
A Pre-trained Audio-Visual Transformer for Emotion Recognition0
A Question Answering Approach for Emotion Cause Extraction0
A Question Answering Approach to Emotion Cause Extraction0
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation0
A Simple Attention-Based Mechanism for Bimodal Emotion Classification0
Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification0
psyML at SemEval-2018 Task 1: Transfer Learning for Sentiment and Emotion Analysis0
Qieemo: Speech Is All You Need in the Emotion Recognition in Conversations0
Real-time Emotion and Gender Classification using Ensemble CNN0
Recent Advancement of Emotion Cognition in Large Language Models0
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification0
Representation learning through cross-modal conditional teacher-student training for speech emotion recognition0
Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture0
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion0
Risk prediction of pathological gambling on social media0
See Your Heart: Psychological states Interpretation through Visual Creations0
Selective Co-occurrences for Word-Emotion Association0
SemEval-2018 Task 1: Affect in Tweets0
Semi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification0
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
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
Song Emotion Classification of Lyrics with Out-of-Domain Data under Label Scarcity0
Speaker-invariant Affective Representation Learning via Adversarial Training0
Spectro Temporal EEG Biomarkers For Binary Emotion Classification0
ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos0
SwahBERT: Language Model of Swahili0
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations0
Symbolic Audio Classification via Modal Decision Tree Learning0
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection0
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning0
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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