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Regular version of the site

Book chapter

Comparative analysis of classification methods for text in UDC code generation problem for scientific articles

P. 359-363.
Lomotin K. E., Kozlova E. S., Romanov A. Y.

The research is devoted to studying of applicability of most relevant modern classification methods to the issue of automatic universal decimal classificator code generation for arbitrary scientific article. The next methods are considered as classifiers: artificial neural network, logistic regression, naive Bayesian classifier and metrical

In book

Comparative analysis of classification methods for text in UDC code generation problem for scientific articles
M.: Association of graduates and employees of AFEA named after prof. Zhukovsky, 2017.