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Лингвистический процессор для поиска и обработки криминально значимой информации в неструктурированных массивах

Лингвистический процессор для поиска и обработки криминально значимой информации в неструктурированных массивах

Abstract

In the article the model of linguistic processor is offered for a search and selection criminally of meaningful information from the unstructured text arrays with the use of statistical methods of selection of collotions and latently-semantic analysis. Figs.: 1. Refs.: 8 titles.

В статье предложена модель лингвистического процессора для поиска и выделения криминально значимой информации из неструктурированных текстовых массивов с использованием статистических методов выделения коллокаций и латентно-семантического анализа. Ил.: 1. Библиогр.: 8 назв.

Keywords

ЛіНГВіСТИЧНИЙ ПРОЦЕСОР, КОЛЛОКАЦіЯ, ЛАТЕНТНО-СЕМАНТИЧНИЙ АНАЛіЗ, КРИМіНАЛЬНО ЗНАЧИМА іНФОРМАЦіЯ, МОДЕЛЬ, ЛИНГВИСТИЧЕСКИЙ ПРОЦЕСОР, КРИМИНАЛЬНО ЗНАЧИМАЯ ИНФОРМАЦИЯ, СТАТИСТИЧЕСКИЕ МЕТОДЫ, КОЛЛОКАЦИИ, ЛАТЕНТНО-СЕМАНТИЧЕСКИЙ АНАЛИЗ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold