Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities

The approach is suggested to the identification of a performer of texts by analysis of frequency of grammatical and syntactic features of the text. The approach is applicable when there are some texts of known performer and the performer of some other texts must be identified. Identification is done...

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Bibliographic Details
Main Authors:	S. D. Kulik, K. I. Tkachenko, I. A. Lukyanov
Format:	Article
Language:	English
Published:	Moscow Engineering Physics Institute 2011-03-01
Series:	Bezopasnostʹ Informacionnyh Tehnologij
Subjects:	identification association rules informational security
Online Access:	https://bit.mephi.ru/index.php/bit/article/view/671

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spelling	doaj-45917b5d2ffc46feb3254274f772c4702020-11-24T23:09:08ZengMoscow Engineering Physics Institute Bezopasnostʹ Informacionnyh Tehnologij2074-71282074-71362011-03-01181108110661Identification of Performer of Text by Frequency Grammatical Features and Syntactical SingularitiesS. D. KulikK. I. TkachenkoI. A. LukyanovThe approach is suggested to the identification of a performer of texts by analysis of frequency of grammatical and syntactic features of the text. The approach is applicable when there are some texts of known performer and the performer of some other texts must be identified. Identification is done with use of machine learning. Texts of known performer are considered as a learning set and those analyzed are input.https://bit.mephi.ru/index.php/bit/article/view/671identificationassociation rulesinformational security
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	S. D. Kulik K. I. Tkachenko I. A. Lukyanov
spellingShingle	S. D. Kulik K. I. Tkachenko I. A. Lukyanov Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities Bezopasnostʹ Informacionnyh Tehnologij identification association rules informational security
author_facet	S. D. Kulik K. I. Tkachenko I. A. Lukyanov
author_sort	S. D. Kulik
title	Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities
title_short	Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities
title_full	Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities
title_fullStr	Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities
title_full_unstemmed	Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities
title_sort	identification of performer of text by frequency grammatical features and syntactical singularities
publisher	Moscow Engineering Physics Institute
series	Bezopasnostʹ Informacionnyh Tehnologij
issn	2074-7128 2074-7136
publishDate	2011-03-01
description	The approach is suggested to the identification of a performer of texts by analysis of frequency of grammatical and syntactic features of the text. The approach is applicable when there are some texts of known performer and the performer of some other texts must be identified. Identification is done with use of machine learning. Texts of known performer are considered as a learning set and those analyzed are input.
topic	identification association rules informational security
url	https://bit.mephi.ru/index.php/bit/article/view/671
work_keys_str_mv	AT sdkulik identificationofperformeroftextbyfrequencygrammaticalfeaturesandsyntacticalsingularities AT kitkachenko identificationofperformeroftextbyfrequencygrammaticalfeaturesandsyntacticalsingularities AT ialukyanov identificationofperformeroftextbyfrequencygrammaticalfeaturesandsyntacticalsingularities
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Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities

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