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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 068, 16 pp.
DOI: https://doi.org/10.20948/prepr-2020-68
(Mi ipmp2859)
 

This article is cited in 5 scientific papers (total in 5 papers)

Effectiveness of methods for assessing the text relevance

K. M. Belova, V. A. Sudakov
Full-text PDF (916 kB) Citations (5)
References:
Abstract: Using the example of the task of comparing the abstracts of articles and descriptions of planned research projects, various methods for assessing the relevance of texts are analyzed and their effectiveness is determined. To obtain a rational assessment of relevance, a procedure for integrating the resulting estimates is proposed. Software has been developed that implements the proposed approach. Approbation of the proposed procedure was carried out on the example of notices of grants and public procurement and abstracts of scientific articles posted in the Russian Science Citation Index.
Keywords: relevance, cosine similarity, Tanimoto index, Okapi BM25, undominated alternatives.
Document Type: Preprint
Language: Russian
Citation: K. M. Belova, V. A. Sudakov, “Effectiveness of methods for assessing the text relevance”, Keldysh Institute preprints, 2020, 068, 16 pp.
Citation in format AMSBIB
\Bibitem{BelSud20}
\by K.~M.~Belova, V.~A.~Sudakov
\paper Effectiveness of methods for assessing the text relevance
\jour Keldysh Institute preprints
\yr 2020
\papernumber 068
\totalpages 16
\mathnet{http://mi.mathnet.ru/ipmp2859}
\crossref{https://doi.org/10.20948/prepr-2020-68}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2859
  • https://www.mathnet.ru/eng/ipmp/y2020/p68
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:117
    Full-text PDF :100
    References:13
     
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