COMPARISON STUDY OF AUTOMATIC CLASSIFIERS PERFORMANCE IN EMOTION RECOGNITION OF ARABIC SOCIAL MEDIA USERS

 Home Page ASPU Research 
Journal:Journal of Theoretical and Applied Information Technology, Vol. 95, Issue 17, September 2017
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The Authors:Nada GHNEIM


Writer Nada GHNEIM

Acoustic Word Stress Analysis for Continuous Arabic Speech 
Emotion Classification in Arabic Poetry Using Machine Learning 
An interactive Speech Web site in Arabic and English 
An Arabic Text-To-Speech Based on Semi-Syllable Concatenation 
Anaphora Resolution in Business Process Requirement Engineering 
Emotion analysis of Arabic Tweets using Deep Learning Approach 
Analyse du corpus ORTHOTEL : apport du traitement automatique à la classification des déviations orthographiques 
An Application Oriented Arabic Morphological Analyzer 
Towards a system for constructing Arabic Ontology based on natural text 
Collaborative Enrichment of Interactive Arabic Dictionary 
Arabic Offensive Language Detection with Attention-based Deep Neural Networks 
The Interactive Arabic Dictionary: Another Collaboratively Constructed Language Resource 
Towards Enhanced Arabic Speech Emotion Recognition: Comparison Between Three Methodologies 
Arabic Speech Act Recognition using Bootstrapped Rule Based System 
Arabic Speech Act Recognition Techniques 
Exploring Arabic text diacritization approaches in view of establishing an action plan for developing an open source diacritizer 
Building an Arabic POS-Tagger Using Semi-Supervised Learning Methodology 
Text-to-Phonemes in Arabic 
Collaborative Enrichment of Interactive Arabic Dictionary 


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