The College of Computer Science and Information Technology at the University of Karbala held a master’s thesis defense titled “Emotion Detection in Arabic Social Media Texts Using Machine Learning and Natural Language Processing”, 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 Hall at the College of Computer Science and Information Technology, with the presence of the Dean, Dr. Mowafaq Kadhim Al-Hasnawi, as well as several researchers and faculty members.
The study aimed to contribute to Arabic Natural Language Processing (NLP) by proposing a scalable and effective method for detecting emotions in written Arabic texts. The research recommended a hybrid deep learning approach based on LSTM and BERT models to enhance emotion classification, particularly in Iraqi dialect social media content.
The examination committee consisted of:
- Prof. Dr. Iyad Hameed Musa – University of Karbala, College of Computer Science and Information Technology (Chair)
- Prof. Dr. Ahmed Shaker Abdul Redha – University of Wasit, College of Computer Science and Information Technology (Member)
- Asst. Prof. Dr. Mohsen Hassan Hussein – University of Karbala, College of Computer Science and Information Technology (Member)
- Asst. Prof. Dr. Hiba Jabbar Abdul Wahid – Al-Zahraa University, College of Information Technology Engineering (Member and Supervisor)
The defense concluded successfully, and Zakaria Hussein Ali was awarded the degree of Master of Science.
