Research and Analysis of the Subject Area of Deep Learning,Automatic Documentation and Mathematical Linguistics

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Research and Analysis of the Subject Area of Deep Learning
Automatic Documentation and Mathematical Linguistics ( IF 0.5 ) Pub Date : 2019-08-26 , DOI: 10.3103/s000510551903004x
V. O. Tolcheev

Abstract

This paper analyzes the rapidly growing scientific direction of Deep Learning, as one of the most significant parts of artificial intelligence. Using scientometric methods, the growth rates of publications in leading countries and the level of their international cooperation are estimated. The terminological structure of the subject area is investigated and the most perspective directions of studies are revealed. We compare scientometric indicators of Deep Learning with another booming scientific area, Quantum Technology. The conclusion is made that publication activity on Deep Learning is growing faster. It is noted that in both these areas the United States and China are the leaders according to the number of papers. Scientometric analysis showed a fairly low level of publication activity of Russian scientists on Deep Learning and their weak involvement in international cooperation.

更新日期：2019-08-26

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