Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/536
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBabenko, M. G.-
dc.contributor.authorБабенко, М. Г.-
dc.contributor.authorStrashkova, O. K.-
dc.contributor.authorСтрашкова, О. К.-
dc.contributor.authorBabenko, I. A.-
dc.contributor.authorБабенко, И. А.-
dc.date.accessioned2018-06-08T12:00:17Z-
dc.date.available2018-06-08T12:00:17Z-
dc.date.issued2017-
dc.identifier.citationBabenko, M.G., Strashkova, O.K., Babenko, I.A. Development of the neural network method for analyzing the literary text from the point of view of genre identification // Proceedings of the 2017 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2017. - 2017. - статья № 8085789. - pp. 162-165.ru
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85040117566&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=d5d8a0d301244722be90437f5b553481&sot=afnl&sdt=cl&cluster=scopubyr%2c%222017%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=16&citeCnt=0&searchTerm=-
dc.identifier.urihttps://dspace.ncfu.ru:443/handle/20.500.12258/536-
dc.description.abstractThe article studies the issue of identification of literary texts with artificial neural networks. We showed that artificial neural networks for solving the problem of classifying literary texts makes it possible to obtain a true result for determining the category of a text with a probability of 95%. However, determining the genre of a literary text is more difficult and in the worst case it is possible only with a probability of 75%ru
dc.language.isoenru
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru
dc.relation.ispartofseriesProceedings of the 2017 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2017-
dc.subjectCategoryru
dc.subjectGenreru
dc.subjectNeural networksru
dc.subjectSemantic analysisru
dc.titleDevelopment of the neural network method for analyzing the literary text from the point of view of genre identificationru
dc.typeСтатьяru
vkr.amountPages 162-165ru
vkr.instИнститут математики и естественных наук-
vkr.instГуманитарный институт-
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

Files in This Item:
File Description SizeFormat 
scopusresults (80).pdf
  Restricted Access
63.76 kBAdobe PDFView/Open
WoS 48 .pdf
  Restricted Access
80.34 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.