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Electronic archive of Tomsk Polytechnic University
Article . 2015
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Метод автоматического построения тезаурусов на основе статистической обработки текстов на естественном языке

descriptionPublicationkeyboard_double_arrow_right Article 20 Nov 2015 Russian Federation Russian Publisher:Томский политехнический университет

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.

Country
Russian Federation
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Keywords

тексты, автоматическое построение, статистическая обработка, векторные модели, тезаурусы, естественные языки, латентный семантический анализ

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    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).
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    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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
Green