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Метод автоматического построения тезаурусов на основе статистической обработки текстов на естественном языке

Метод автоматического построения тезаурусов на основе статистической обработки текстов на естественном языке

Abstract

Рассмотрен метод автоматического построения тезауруса терминов предметной области на основе статистической обработки естественно-языковых текстов. Использование предложенного метода позволяет отказаться от ручного труда экспертов по формированию и поддержанию тезауруса в актуальном состоянии.The article considers the method of automatic construction of terms thesaurus in subject area based on natural language statistical processing. The application of the proposed method allows rejecting the experts manual work in forming and supporting thesaurus in urgent state.

Keywords

ОБРАБОТКА ТЕКСТОВ НА ЕСТЕСТВЕННОМ ЯЗЫКЕ, ЛАТЕНТНЫЙ СЕМАНТИЧЕСКИЙ АНАЛИЗ, ВЕКТОРНАЯ МОДЕЛЬ ТЕКСТА

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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