Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2013, Issue 1, Pages 33–40 (Mi iipr387)  
This article is cited in 3 scientific papers (total in 3 papers)

Natural language processing

Method for detecting relationships between sci-tech documents based on topic importance characteristic

R. E. Suvorov, I. V. Sochenkov

Institute for Systems Analysis of Russian Academy of Sciences
Full-text PDF (374 kB) Citations (3)
Abstract: The article covers research in the field of Natural Language Processing. The method and the algorithm for searching thematically similar documents are presented. A comparison of various measures of thematic similarity and sets of features is performed.
Keywords: text similarity, vector space model, TF, IDF, topic importance characteristic, measure of thematic similarity, assessment of methods for information retrieval, DCG.
English version:
Scientific and Technical Information Processing, 2015, Volume 42, Issue 5, Pages 321–327
DOI: https://doi.org/10.3103/S0147688215050081
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: R. E. Suvorov, I. V. Sochenkov, “Method for detecting relationships between sci-tech documents based on topic importance characteristic”, Artificial Intelligence and Decision Making, 2013, no. 1, 33–40; Scientific and Technical Information Processing, 42:5 (2015), 321–327
Citation in format AMSBIB
\Bibitem{SuvSoc13}
\by R.~E.~Suvorov, I.~V.~Sochenkov
\paper Method for detecting relationships between sci-tech documents based on topic importance characteristic
\jour Artificial Intelligence and Decision Making
\yr 2013
\issue 1
\pages 33--40
\mathnet{http://mi.mathnet.ru/iipr387}
\elib{https://elibrary.ru/item.asp?id=19096186}
\transl
\jour Scientific and Technical Information Processing
\yr 2015
\vol 42
\issue 5
\pages 321--327
\crossref{https://doi.org/10.3103/S0147688215050081}
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  • https://www.mathnet.ru/eng/iipr387
  • https://www.mathnet.ru/eng/iipr/y2013/i1/p33
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:16
    Full-text PDF :27
    References:1
     
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