{"id":8721,"date":"2025-06-04T12:11:12","date_gmt":"2025-06-04T09:11:12","guid":{"rendered":"https:\/\/csit.uokerbala.edu.iq\/en\/?p=8721"},"modified":"2025-06-09T12:12:04","modified_gmt":"2025-06-09T09:12:04","slug":"college-of-computer-science-discusses-masters-thesis-titled-emotion-detection-in-arabic-social-media-texts-using-machine-learning-and-natural-language-processing","status":"publish","type":"post","link":"https:\/\/csit.uokerbala.edu.iq\/en\/college-of-computer-science-discusses-masters-thesis-titled-emotion-detection-in-arabic-social-media-texts-using-machine-learning-and-natural-language-processing\/","title":{"rendered":"College of Computer Science Discusses Master&#8217;s Thesis Titled \u201cEmotion Detection in Arabic Social Media Texts Using Machine Learning and Natural Language Processing\u201d"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><\/p>\n\n\n\n<p>The College of Computer Science and Information Technology at the University of Karbala held a master\u2019s thesis defense titled <strong>\u201cEmotion Detection in Arabic Social Media Texts Using Machine Learning and Natural Language Processing\u201d<\/strong>, presented by graduate student <strong>Zakaria Hussein Ali<\/strong>.<\/p>\n\n\n\n<p>The defense took place at <strong>9:30 a.m. on Tuesday, May 3, 2025<\/strong>, in the <strong>Al-Khwarizmi Hall<\/strong> at the College of Computer Science and Information Technology, with the presence of the Dean, <strong>Dr. Mowafaq Kadhim Al-Hasnawi<\/strong>, as well as several researchers and faculty members.<\/p>\n\n\n\n<p>The study aimed to contribute to <strong>Arabic Natural Language Processing (NLP)<\/strong> by proposing a scalable and effective method for <strong>detecting emotions in written Arabic texts<\/strong>. The research recommended a <strong>hybrid deep learning approach<\/strong> based on <strong>LSTM<\/strong> and <strong>BERT<\/strong> models to enhance emotion classification, particularly in <strong>Iraqi dialect<\/strong> social media content.<\/p>\n\n\n\n<p>The examination committee consisted of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Prof. Dr. Iyad Hameed Musa<\/strong> \u2013 University of Karbala, College of Computer Science and Information Technology (Chair)<\/li>\n\n\n\n<li><strong>Prof. Dr. Ahmed Shaker Abdul Redha<\/strong> \u2013 University of Wasit, College of Computer Science and Information Technology (Member)<\/li>\n\n\n\n<li><strong>Asst. Prof. Dr. Mohsen Hassan Hussein<\/strong> \u2013 University of Karbala, College of Computer Science and Information Technology (Member)<\/li>\n\n\n\n<li><strong>Asst. Prof. Dr. Hiba Jabbar Abdul Wahid<\/strong> \u2013 Al-Zahraa University, College of Information Technology Engineering (Member and Supervisor)<\/li>\n<\/ul>\n\n\n\n<p>The defense concluded successfully, and <strong>Zakaria Hussein Ali<\/strong> was awarded the degree of <strong>Master of Science<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The College of Computer Science and Information Technology at the University of Karbala held a master\u2019s thesis defense titled \u201cEmotion Detection in Arabic Social Media Texts Using Machine Learning and Natural Language Processing\u201d, presented by graduate student Zakaria Hussein Ali. The defense took place at 9:30 a.m. on Tuesday, May 3, 2025, in the Al-Khwarizmi 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