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Classification by Compression: Application of Information-Theory Methods for the Identification of Themes of Scientific Texts

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

DOI

https://doi.org/10.3103/S0005105517030116
Final published version

I. V. Selivanova
B. Y. A. Ryabko
A. E. Guskov

Original language	English
Pages (from-to)	120-126
Number of pages	7
Journal	Automatic documentation and mathematical linguistics
Volume	51
Issue number	3
DOIs	https://doi.org/10.3103/S0005105517030116
Publication status	Published - 1 Jun 2017

OECD FOS+WOS

Research areas

classification, thematic classification of texts, information theory, text compression, arXiv.org, CyberLeninka

ID: 25331515