Dépôt Institutionnel de l'Université BBA

Parcourir par sujet "Since most information (over 80%) is stored as text, text mining is believed to have high commercial value. Knowledge can be discovered from many sources of information. Yet, unstructured texts remain the greatest easily accessible source of knowledge. Text classification that classifies documents according to predefined categories. In this thesis, we try to apply one of the powerful Deep Learning models, which is the neural network (RNA) on a textual data set to solve text classification problems."

Parcourir par sujet "Since most information (over 80%) is stored as text, text mining is believed to have high commercial value. Knowledge can be discovered from many sources of information. Yet, unstructured texts remain the greatest easily accessible source of knowledge. Text classification that classifies documents according to predefined categories. In this thesis, we try to apply one of the powerful Deep Learning models, which is the neural network (RNA) on a textual data set to solve text classification problems."

Trier par : Ordre : Résultats :

  • CATEGORISATION DES TEXTES PAR DEEP LEARNING 
    BEN DIB, ASSIA; MEBARKI, OUSSAMA (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2022-09)
    Comme la plupart des informations (plus de 80 %) sont stockées sous forme de texte, on pense que le text mining a une valeur commerciale élevée. Les connaissances peuvent être découvertes à partir de nombreuses sources ...

Chercher dans le dépôt

Parcourir

Mon compte