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A software Service for Detecting of Possible Virability of a Post in Social Networks (Using Neural Networks)

Student: Elizaveta Korolkova

Supervisor: Eduard Klyshinskiy

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2017

Natural language processing (NLP) ​​is an area that deals with the tasks of teaching machines to understand human language. The issues are divided into two parts, they are computer analysis and natural language synthesis. Thanks to modern machine learning tools, these problems are quite common in our time. In this paper, the existing options for solving the problems of NLP are analyzed, and the process of implementing a service designed to predict the potential popularity of a message on a social network is described. The author provides an algorithm for a social network post popularity analysis and brings out the results of data processing. Total number of pages: 32 Number of illustrations: 8 Number of tables: 3 Number of sources used: 27

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