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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Format: | Article |
Language: | English |
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Joint Stock Company "Experimental Scientific and Production Association SPELS
2011-03-01
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Series: | Безопасность информационных технологий |
Subjects: | |
Online Access: | https://bit.mephi.ru/index.php/bit/article/view/671 |
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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 |