Titre :	Deep learning for the analysis of emotions in the Algerian dialect
Type de document :	texte imprimé
Auteurs :	Merouani ,Ahmed Abdenour, Auteur ; Mediani,Chahrazed, Directeur de thèse
Editeur :	Setif:UFA
Année de publication :	2021
Importance :	1 vol (66 f .)
Format :	29 cm
Langues :	Français (fre)
Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Machine learning Deep learning
Index. décimale :	004 - Informatique
Résumé :	Machines and algorithms can now discern a variety of human emotions thanks to technological advancements. Emotion identification has a significant social impact and is increasingly in demand in a number of industries, from retail to healthcare. Aside from the important role of emotion recognition in healthcare, which aids in the diagnosis of mental illnesses by identifying a pattern in emotional kinds, adv . The goal of this research was to create a deep learning model that could recognize emotions from the text we exchange on a regular basis. Nowadays, personalisation is required in everything we encounter on a daily basis.
Côte titre :	MAI/0484
En ligne :	https://drive.google.com/file/d/1iMcfS7T7QXepC-KqZ-plIda35KnRBLvH/view?usp=shari [...]
Format de la ressource électronique :	pdf

Deep learning for the analysis of emotions in the Algerian dialect [texte imprimé] / Merouani ,Ahmed Abdenour, Auteur ; Mediani,Chahrazed, Directeur de thèse . - [S.l.] : Setif:UFA, 2021 . - 1 vol (66 f .) ; 29 cm.
Langues : Français (fre)

Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Machine learning Deep learning
Index. décimale :	004 - Informatique
Résumé :	Machines and algorithms can now discern a variety of human emotions thanks to technological advancements. Emotion identification has a significant social impact and is increasingly in demand in a number of industries, from retail to healthcare. Aside from the important role of emotion recognition in healthcare, which aids in the diagnosis of mental illnesses by identifying a pattern in emotional kinds, adv . The goal of this research was to create a deep learning model that could recognize emotions from the text we exchange on a regular basis. Nowadays, personalisation is required in everything we encounter on a daily basis.
Côte titre :	MAI/0484
En ligne :	https://drive.google.com/file/d/1iMcfS7T7QXepC-KqZ-plIda35KnRBLvH/view?usp=shari [...]
Format de la ressource électronique :	pdf