Emotion Classification
9개 벤치마크 · 논문 540편 · 이 태스크의 논문 보기 →
Benchmarks
CMU-MOSEI
SemEval 2018 Task 1E-c
EWALK
MFA
ROCStories
ArmanEmo
CAER-Dynamic
RAVDESS
ShortPersianEmo
Most implemented
Real-time Convolutional Neural Networks for Emotion and Gender Classification
GoEmotions: A Dataset of Fine-Grained Emotions
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
Multimodal Speech Emotion Recognition Using Audio and Text
Papers
Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks
Body-based emotion recognition is important for real-time affective systems, but graph-based skeleton models can be computationally expensive. This paper studies whether lightweight temporal convolutional networks (TCNs)…
Emotion ClassificationEmotion RecognitionMIDI-RAE-JEPA: Hierarchical Representation Learning and Generation for Symbolic Music
Rich internal representations of musical structure are essential for music understanding tasks such as machine-assisted music co-writing, yet self-supervised approaches for symbolic music representation remain underexplo…
Representation LearningEmotion ClassificationBenchmarking Dynamic Affective Reasoning: A Viewer-Centric Video Emotion Dataset
Video emotion analysis is typically framed as a static classification problem, treating each clip as an independent labeled unit. However, such a formulation overlooks a key psychological fact: emotions change as a resul…
Emotion ClassificationCharacterizing the Temporal, Emotional, and Social Patterns of Adolescent Substance Use Discussions on Reddit
Adolescence is a critical developmental period marked by heightened emotional sensitivity, social stress, and vulnerability to substance use. However, traditional research methods provide limited access to adolescents' a…
Emotion ClassificationQuantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies
Emotion recognition in natural language is a foundational challenge in affective computing, with critical implications for human-computer interaction, mental health support, and conversational AI. This paper presents a r…
Emotion ClassificationEmotion RecognitionLLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning
Understanding human states and interaction dynamics is a core goal of human-computer interaction (HCI). As interaction paradigms become more immersive, virtual reality (VR) has emerged as a powerful platform for studying…
Emotion Classification