Master's thesis in the Department of Computer Science discussing "Improving classification based on prospecting patient opinion in drug reviews" The Department of Computer Science discussed the Master's thesis tagged with "Improving classification based on the exploration of patient opinion in drug reviews" for the student (Dina Rahim Nehme), master's degree in computer science / artificial intelligence, in the discussion room in the building of the Department of Computer Science, Monday 8/11/2021. The goal of the message is to create a system that analyzes patients’ opinions (positive, negative, neutral) to benefit pharmaceutical companies, doctors and pharmacists to follow up on newly manufactured medicines and to benefit patients to know the appropriate medicines for their health condition. As for the conclusions reached by the message, which used four algorithms (two algorithms for each scenario), the first algorithm is a support vector machine and the second algorithm is logistic regrssion. The second algorithm was better than the first, where the accuracy of the first was 74% and the second was 88%. The discussion committee consisted of:

• Prof. Dr. Khaled Ali Hussein, President
• Prof. Dr. Yousry Hussein Ali Member
• Dr. Khalil Ibrahim Ghathwan Member
• Prof. Dr. Iyad Roudhan Abbas, member and supervisor