Dreams Analysis / Laidi, Radhia  

Public ISBD Titre : Dreams Analysis Type de document : texte imprimé Auteurs : Laidi, Radhia, Auteur ; Harrag,Fouzi, Directeur de thèse Editeur : Setif:UFA Année de publication : 2021 Importance : 1 vol (71 f .) Format : 29 cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Natural language processing Dreams Deep learning Index. décimale : 004 - Informatique Résumé : With the curiosity of many of us about knowing the interpretation of the dreams and their categories: are they true dreams, pipe dreams or demonic dreams. With the difference of opinions between Westerners and Muslims about what dreams are and what are their types, and with lack of studies about dreams analysis in Arabic, we decided to focus our attention in the analysis of dreams in Arabic. Arabic is a very challenging language when it comes to Natural Language Processing (NLP), it is both morphologically rich and highly ambiguous. Most existing methods are based on a pipeline model that uses traditional language representation that generates many errors. To address this issues, we proposed an CNN deep learning model that can understand the context of dreams and classify them in the appropriate category. Côte titre : MAI/0535 En ligne : https://drive.google.com/file/d/1p-AV8sKgHHoI6zQEjbYaIZj7nwc8K2jS/view?usp=shari [...] Format de la ressource électronique : pdf Dreams Analysis [texte imprimé] / Laidi, Radhia, Auteur ; Harrag,Fouzi, Directeur de thèse . - [S.l.] : Setif:UFA, 2021 . - 1 vol (71 f .) ; 29 cm. Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Natural language processing Dreams Deep learning Index. décimale : 004 - Informatique Résumé : With the curiosity of many of us about knowing the interpretation of the dreams and their categories: are they true dreams, pipe dreams or demonic dreams. With the difference of opinions between Westerners and Muslims about what dreams are and what are their types, and with lack of studies about dreams analysis in Arabic, we decided to focus our attention in the analysis of dreams in Arabic. Arabic is a very challenging language when it comes to Natural Language Processing (NLP), it is both morphologically rich and highly ambiguous. Most existing methods are based on a pipeline model that uses traditional language representation that generates many errors. To address this issues, we proposed an CNN deep learning model that can understand the context of dreams and classify them in the appropriate category. Côte titre : MAI/0535 En ligne : https://drive.google.com/file/d/1p-AV8sKgHHoI6zQEjbYaIZj7nwc8K2jS/view?usp=shari [...] Format de la ressource électronique : pdf

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0535	MAI/0535	Mémoire	Bibliothéque des sciences	Français	Disponible Disponible

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