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%.