The Computer Science Department discussed the tagged master's thesis Proposed Arabic Sentiment Analysis System For Evaluation of Firms Performance Using Deep Learning Technique For Master’s student Rafif Abdul Amir Hamid, Computer Science/General, in the discussion room in the building of the Computer Science Department annex. The thesis aims to develop a powerful and accurate Arabic sentiment analysis model that can effectively analyze large amounts of textual data and evaluate valuable insights for various companies and applications. The discussion committee consisted of Prof. Dr. Shaima Hamid Shaker as Chairman, Prof. Dr. Nadia Fadel Al-Bakri as Member, Prof. Dr. Bashar Saadoun Mahdi, Prof. Dr. Ahmed Tariq Sadiq as Member and Supervisor, and Prof. Dr. Wael Jabbar as Member. And honorable.