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Title: Sentiment analysis for Arabic call center notes using machine learning techniques : a case study of Jordanian dialect / by Hamza Essam al-Far ; supervised by Prof. Dr. Mohammed Otair. : تحليل مشاعر ملاحظات مراكز الاتصالات باستخدام تقنيات تعلم الآلة دراسة حالة من اللهجة الأردنية
: تحليل مشاعر ملاحظات مراكز الاتصالات باستخدام تقنيات تعلم الآلة دراسة حالة من اللهجة الأردنية : تحليل مشاعر ملاحظات مراكز الاتصالات باستخدام تقنيات تعلم الآلة دراسة حالة من اللهجة الأردنية
Author: al-Far, Hamza Essam, author.
Otair, Mohammed, supervisor.
Amman Arab University (Amman, Jordan) (Amman, Jordan). College of Computer Science and Informatics. Computer Science and Information Systems Department .
General Notes: Keywords: (Sentiment Analysis, Support Vector Machine, Bidirectional Long Short Term Memory, Natural Language Processing, Jordanian Dialect)., Keywords: (Sentiment Analysis, Support Vector Machine, Bidirectional Long Short Term Memory, Natural Language Processing, Jordanian Dialect).
Subject: Computer science
Call centers -- Computer network resources
Machine learning
Natural language processing
Arabic language -- Dialects -- Jordan
Support vector machines
Dissertation Note: Thesis (M. Sc. in Computer Science)--Amman Arab University (Amman, Jordan), College of Computer Science and Informatics, Computer Science and Information Systems Department , 2021.
Physical Description: 1CD-ROM : PDF.
Publication Date: 2021.

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Theses & Disertations Thesis 004 F219 No Circulation Available 1 JUF0850495 Compact Disc Read-only Memory