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...

Full description

Bibliographic Details
Main Authors: S. D. Kulik, K. I. Tkachenko, I. A. Lukyanov
Format: Article
Language:English
Published: Joint Stock Company "Experimental Scientific and Production Association SPELS 2011-03-01
Series:Безопасность информационных технологий
Subjects:
Online Access:https://bit.mephi.ru/index.php/bit/article/view/671
_version_ 1797714822664552448
author S. D. Kulik
K. I. Tkachenko
I. A. Lukyanov
author_facet S. D. Kulik
K. I. Tkachenko
I. A. Lukyanov
author_sort S. D. Kulik
collection DOAJ
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.
first_indexed 2024-03-12T07:57:41Z
format Article
id doaj.art-45917b5d2ffc46feb3254274f772c470
institution Directory Open Access Journal
issn 2074-7128
2074-7136
language English
last_indexed 2024-03-12T07:57:41Z
publishDate 2011-03-01
publisher Joint Stock Company "Experimental Scientific and Production Association SPELS
record_format Article
series Безопасность информационных технологий
spelling doaj.art-45917b5d2ffc46feb3254274f772c4702023-09-02T20:05:53ZengJoint Stock Company "Experimental Scientific and Production Association SPELSБезопасность информационных технологий2074-71282074-71362011-03-01181108110661Identification 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
spellingShingle S. D. Kulik
K. I. Tkachenko
I. A. Lukyanov
Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities
Безопасность информационных технологий
identification
association rules
informational security
title 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_short 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
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