The two instructors in the Computer Science Department (Prof. Dr. Ahmed Tariq Sadiq and Prof. Dr. Ayad Roudhan Abbas) published their paper entitled “Classification of political articles based on different Bayesian models” for the benefit of the international publishing house (Springer). The research idea is summarized in the important role that sentiment analysis plays in most of our daily activities and its great impact on our behaviors, and with the increase in articles published daily on the Internet, there must be an analysis of behaviors. These behaviors include politics, business and others. In this research, various NP techniques were applied in order to detect the behavior of the publisher. Four types of NPs were used, and a set of standards were used to measure the accuracy of the work and the results were 97.77%.

A staff member Dr. Maisaa' Abid Ali participated in the International College of Imam Al-Kazim (AS) conference for modern applications of information and communication technology for the period 11-12 / 1/2020 which was held by the College of Imam Al-Kazim (AS).

A discussion was held on the Master's student (Maha Khamees Abdulhussen) in the Department of Computer Science / University of Technology on her thesis (Automated Analysis of Comments on Press Articles in Websites) A biometric system of identification and authentication provides automatic recognition of an individual based on certain unique features or characteristics possessed by that individual. Iris recognition is a biometric identification method that uses pattern recognition on the images of the iris of an individual. Iris recognition is considered as one of the most accurate biometric methods available owing to the unique epigenetic patterns of the iris. In this thesis, a design authentication system based on Iris recognition has been proposed. The proposed system consists of two sides, the first is client-side and second server cloud side. The work of the client-side in the proposed system is to extract the Region of Interest (ROI) and the server-side work is to perform the identification and authentication... That was on Sunday, (12/1/2020) and on the discussion hall in the building of Department of Computer Sciences The discussion committee consisted of (Assist. Prof. Dr. Soukaena Hassan Hashim and Assist . Prof. Alaa Kadhum Farhan) from the University of Technology / Department of Computer Science and (Assist .Prof. Dr. Ekhlas Abbas Juber) from the University of Mustanseryia \ Computer Sciences Department and in the presence of the student's supervisor (Prof. Dr. Ekhlas Khalaf Kabashi)

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Prof. Dr. Hala Bahjat Andul Wahab chaired a session of computer science at the first international scientific conference for the Department of Computer Technology Engineering held by the College of Imam Al-Kazim (AS) on Saturday and Sunday 11-12 / 1/2020 and the (Conference) titled Imam Al-Kazim (AS) International conference for Modern Applications of Information and Communication Technology.

A master thesis discussion was held for the student Hassanein Alwan Malik from the Department of Computer Sciences / University of Technology for his thesis entitled (Decision Support System using Arabic Text Mining and Rough Set Theory). This study aimed to develop a categorization system based on the word’s meaning when differentiating information, which can differentiate in everyone with the other attempt to fix the trouble of noise information. The present work based on an implement classification system for Arab Complaint. The basis of this system is to construct a Decision Support Systems, Text Mining, and Rough Set. Firstly, classical text mining stages have been achieved. Then classification stage by using rough set theory concepts The task of classification in the stage of testing depends on the dependency degree concept in the raw group theory than before to treat all the characteristics of every one of the classes that result from the stage of training as particular condition rules and, therefore, considered in the lower rounding group.. This was on Sunday, 12/1/2020 at the discussion hall in the department and the discussion committee was composed of (Dr. Yousra Hussein Ali and Dr. Hasanien Samir Abdullah) from the University of Technology / Department of Computer Science and (Dr. Shaker Kazem Ali) from Dhi Qar University / Department of Computer Science and in the presence of the student supervisor (Prof. Dr. Ahmed Tariq Sadiq).

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