Adaptive multi-view selection for semi-supervised emotion recognition of posts in online student community
- Auteur
- ZONGKAI YANG1 ; ZHI LIU1 ; SANYA LIU1 2 ; LEI MIN1 ; WENTING MENG3
[1] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China
[2] Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Wuhan 430079, China
[3] Wuhan Branch Company, Hikvision Digital Technology Co., Ltd., Wuhan 430074, China - Source
Neurocomputing (Amsterdam). 2014, Vol 144, pp 138-150, 13 p ; ref : 34 ref
- ISSN
- 0925-2312
- Domaine scientifique
- Cognition; Computer science
- Editeur
- Elsevier, Amsterdam
- Pays de publication
- Netherlands
- Type de document
- Article
- Langue
- English
- Mot clé auteur
- Diversity Emotion contribution rate Feature emotional strength Kernel smoothing Multi-view selection Semi-supervised emotion recognition
- Mot clé (fr)
- Analyse statistique Approche probabiliste Classification Communauté virtuelle Dimensionnalité Emotion émotivité Humeur Lissage Méthode adaptative Psychophysiologie Qualité information Reconnaissance caractère Reconnaissance forme Réseau social Résultat expérimental Texte Vue multiple Apprentissage semi-supervisé Intégrité donnée
- Mot clé (en)
- Statistical analysis Probabilistic approach Classification Virtual community Dimensionality Emotion emotionality Mood Smoothing Adaptive method Psychophysiology Information quality Character recognition Pattern recognition Social network Experimental result Text Multiple view Semi-supervised learning Data integrity
- Mot clé (es)
- Análisis estadístico Enfoque probabilista Clasificación Comunidad virtual Dimensionalidad Emoción emotividad Humor Alisamiento Método adaptativo Psicofisiología Calidad de la información Reconocimiento carácter Reconocimiento patrón Red social Resultado experimental Texto Vista múltiple Aprendizaje semi-supervisado Integridad de datos
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02B Logiciel / 001D02B04 Systèmes informatiques et systèmes répartis. Interface utilisateur
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02C Intelligence artificielle / 001D02C02 Apprentissage et systèmes adaptatifs
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02C Intelligence artificielle / 001D02C04 Reconnaissance et synthèse de la parole et du son. Linguistique
- Pascal
- 002 Sciences biologiques et medicales / 002A Sciences biologiques fondamentales et appliquees. Psychologie / 002A26 Psychologie. Psychophysiologie / 002A26C Psychophysiologie du comportement / 002A26C04 Corrélats anatomiques du comportement
- Francis
- 770 Psychologie. Psychanalyse. Psychiatrie / 770-B Psychologie. Psychophysiologie / 770-B03 Psychophysiologie du comportement / 770-B03D Corrélats anatomiques du comportement
- Discipline
- Computer science : theoretical automation and systems Psychology. Ethology
- Provenance
- Inist-CNRS
- Base de données
- FRANCIS ; PASCAL
- Identifiant INIST
- 28745165
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neucom.2014.05.055 
https://dx.doi.org/10.1016/j.neucom.2014.05.055
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