https://github.com/hasanhuz/SpanEmo
공식 코드SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Papers with Code 아카이브
Emotion Classification
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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).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jabalazs/implicit_emotion
공식 코드IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
https://github.com/jbarnesspain/fine-grained_cross-lingual_emotion
공식 코드https://github.com/jerbarnes/fine-grained_cross-lingual_emotion
공식 코드https://github.com/jihunhamm/MinimaxFilter
공식 코드Minimax Filter: Learning to Preserve Privacy from Inference Attacks
https://github.com/julianyulu/icassp2021-mscnn-spu
공식 코드Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention
https://github.com/language-ml/semeval2024-task3
공식 코드AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
https://github.com/lijfrank-open/GraphCFC
공식 코드https://github.com/lijiazheng99/cue
공식 코드https://github.com/lzw108/mmaffben
공식 코드MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
https://github.com/manisha-Singh-UW/LING573_HUE-Human-Understanding-and-Empathy
공식 코드https://github.com/microsoft/muzic/tree/main/musicbert
공식 코드MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
https://github.com/midas-research/video-persuasion
공식 코드A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
https://github.com/monetjoe/emelodygen
공식 코드EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template
https://github.com/morganlee123/deeptalkemotions
공식 코드Is Style All You Need? Dependencies Between Emotion and GST-based Speaker Recognition
https://github.com/nickyfot/emocommonsense
공식 코드VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
https://github.com/nisarahmedrana/arabicmlec
공식 코드https://github.com/nlp4se/review-emotion-analysis
공식 코드What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
https://github.com/nur-ag/emotion-classification
공식 코드https://github.com/nur-ag/emotion-ui
공식 코드https://github.com/oarriaga/face_classification
공식 코드Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/omar-sharif03/NAACL-SRW-2021
공식 코드Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
https://github.com/philipph77/DAPE-Framework
공식 코드Domain-Invariant Representation Learning from EEG with Private Encoders
https://github.com/philipph77/acse-framework
공식 코드Exploiting Multiple EEG Data Domains with Adversarial Learning
https://github.com/rajamohanharesh/Emotion-Recognition
공식 코드https://github.com/remyhuang/pop-music-highlighter
공식 코드https://github.com/rhtm02/Bootstrap-Your-Emotion-Latent
공식 코드https://github.com/rjavadi/social-signal-project
공식 코드The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild)
https://github.com/ryersonmultimedialab/emotionrecognitionuda
공식 코드https://github.com/sachertort/petkaz-semeval-ecac
공식 코드https://github.com/sagorbrur/bangla-bert
공식 코드Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
https://github.com/sakibsourav019/ubmec-unified-bangla-multi-class-emotion-corpus-
공식 코드Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus
https://github.com/sco-field/speechemotionrecognition
공식 코드https://github.com/seefreem/meme_text_retrieval_p1
공식 코드Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes
https://github.com/serkansulun/lyricsemotions
공식 코드Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset
https://github.com/smartcameras/selfcrossattn
공식 코드Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.