On the classification of text documents taking into account their structural features

A modification of the conventional bag of words model that can take into account the structural features of text documents in their classification (categorization) using machine learning techniques is studied. It is proposed to describe these features by relations on the set of certain lexemes and u...

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Veröffentlicht in:	Journal of computer & systems sciences international Jg. 55; H. 3; S. 394 - 403
Hauptverfasser:	Gulin, V. V., Frolov, A. B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Pleiades Publishing 01.05.2016 Springer Nature B.V
Schlagworte:	Artificial intelligence Classification Classifiers Collection Computer science Computer simulation Control Dictionaries Documents Engineering Machine learning Mathematical analysis Mathematical models Mechatronics Names Pattern Recognition and Image Processing Random variables Robotics Studies Text categorization Texts
ISSN:	1064-2307, 1555-6530
Online-Zugang:	Volltext
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