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Comparative analysis of methods of automated classification of poetic texts based on lexical signs

Research output: Contribution to journal › Article › peer-review

V. B. Barakhnin
O. Yu Kozhemyakina
I. S. Pastushkov

Original language	English
Pages (from-to)	252-257
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	2022
Publication status	Published - 2017

Research areas

Automated analysis of poetic texts, Classification algorithms, The definition of genres and styles

OECD FOS+WOS

ID: 9181035