SAIF ADDEEN AHMAD ALI ALRABABAH استاذ مشارك/ saif_r@aabu.edu.jo Download CV orcid linkedin Google Scholar Scopus ResearchGate Jordan Open Innovation Platform Contact Member Ext: Academic qualifications University Major Graduation Year Yarmouk University Computer Sciences 2003 Yarmouk University Computer Information Systems 2006 USM Data Mining 2018 Work Experience Foundation Position From To AABU مدير مركز التعلم الالكتروني 28/03/2020 01/02/2023 Computer Trainer 2006 2007 Lecturer 2/06 6/06 Research Researche Title عنــوان البحــث Publishing Year Moodlebased Blended Learning Factors Influencing the Behavioral Intention of Undergraduate Students Moodlebased Blended Learning Factors Influencing the Behavioral Intention of Undergraduate Students 2025 Evaluation of machine learning and deep learning models for fake news detection in Arabic headlines Evaluation of machine learning and deep learning models for fake news detection in Arabic headlines 2025 Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects اكتشاف الاخبار الكاذبة في نصوص اللغة العربية 2025 CONTENT-RATING CONSISTENCY OF ONLINE PRODUCT REVIEW AND ITS IMPACT ON HELPFULNESS: A FINE-GRAINED LEVEL SENTIMENT ANALYSIS تقييم المحتوى لمراجعة المنتجات عبر الإنترنت وأثره على مدى الفائدة: تحليل دقيق للآراء 2023 U2-Net: A Very-Deep Convolutional Neural Network for Detecting Distracted Drivers استخدام التعلم العميق في اكتشاف تشتت السائقين أثناء القيادة 2023 Effects of the Hybrid CRITIC?VIKOR Method on Product Aspect Ranking in Customer Reviews تأثير استخدام خوارزمية CRITIC-VIKOR على استنباط أهم خصائص المنتج من تعليقات الزبائن على الانترنت 2023 Effect of Normalization Techniques in VIKOR Approach for Mining Product Aspects in Customer Reviews Effect of Normalization Techniques in VIKOR Approach for Mining Product Aspects in Customer Reviews 2019 Comparative analysis of MCDM methods for product aspect ranking: TOPSIS and VIKOR مقارنة بين topsis و VIKOR لترتيب صفات المنتجات على الويب 2017 Product Aspect Ranking using Sentiment Analysis and TOPSIS Product Aspect Ranking using Sentiment Analysis and TOPSIS 2016 A Novel Root Based Arabic Stemmer 2015 Enhanced Algorithm for Extracting the Root of Arabic Words 2009 An Algorithm for Extracting the Root for the Arabic Language,2005,5 2005 Application of Preference Selection Index and TOPSIS in Product Aspect Extraction and Ranking تطبيق PSI-TOPSIS في استنباط الصفات المميزة للمنتج من تعليقات الزبائن على الانترنت
