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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i12.30
pages 29-43

Methods and Tools for Text Analysis of Publications to Study the Functioning of Scientific Schools

Natalya B. Shakhovska
National University "Lvovskaya politekhnika", Lvov
Roman Yu. Noha
National University "Lvovskaya politekhnika", Lvov

SINOPSIS

The methods of processing text information from many separate information resources have been analyzed. The method of extraction of data from scientific publications, as well as the method of k-means clustering to subdivide research papers with respect to scientific schools are improved. The quality metric of cluster solution is defined. The developed methods were tested for e-libraries and academic institutions.


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