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Analysis of the social networking sites and the machine learning

Authors: Khachatryan M.G., Chepik P.I.
Published in issue: #2(19)/2018
DOI: 10.18698/2541-8009-2018-2-249


Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics

Keywords: social networking sites, machine learning, algorithm, network structure, columns, network model, classification of polarities, spam identification
Published: 29.01.2018

This work presents a literature review regarding the social networking sites analysis. We briefly consider the principal directions of the social networking sites analysis and set out the objectives of this analysis and some tasks in these directions. The article thoroughly describes the basic method of the social networking website representation and also presents the basic terms applied in most directions of the social networking sites analysis. We consider the application fields for the machine learning methods in the social networking sites analysis and the cases where their application is reasonable. To demonstrate the working principle of the machine learning methods, we provide an example of solving the spam identification problem by means of the machine learning method with the teacher.


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