Identify and Analyze Behavior a Sample of the Pioneers and Users of Networking Social Media using an Artificial Intelligence Algorithm to Determine their Intellectual Orientation
To learn about the dynamic and dynamic interface between social networking platforms and users. The logic of social networking sites is gradually expanding into all areas of public life. In addition to print and broadcast news, it also affects law and order, social activism, politics, etc. Therefore, its sustainable and widely disseminated logic deserves scrutiny in detail in order to better understand its impact in various fields. Electronic social networking sites today are a virtual place frequented by most Internet browsers and age groups of both sexes around the world on a daily basis for many hours, Which led us to research in this environment for the diagnosis of some of the negatives and focus on the paragraph trends and tendencies of some of these users and intellectual pioneers, using the latest techniques of our selection of one of the algorithms of artificial intelligence and applied to the coordinates of the default samples of the And it is very possible to apply them to samples of real users after obtaining official permissions and permits from the official authorities to intervene in the privacy of some real samples. By applying this algorithm, we will be able to obtain classifications and logical analyzes that will draw us decisions and values closer the truth and the right is very high. We will address the different types of automated learning algorithms and optimized decision making supported, through its experience in the Weka tool that we will explain in this paper. As well as how algorithms can be configured in Weka and how to save and load good algorithm configurations. After applying one of these algorithms in Weka on a virtual sample as mentioned, we will draw and derive the approximate relative values of the trends and the intellectual orientations of the default sample if they are inclined to hard thought or not through hypothetical data as we said.