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}
Linking options:
  • https://www.mathnet.ru/eng/iipr387
  • https://www.mathnet.ru/eng/iipr/y2013/i1/p33
    • This publication is cited in the following 3 articles:
    1. Yulia Otmakhova, Dmitry Devyatkin, Lecture Notes in Information Systems and Organisation, 54, Digital Transformation in Industry, 2022, 481  crossref
    2. Sergey Volkov, Dmitry Devyatkin, Ilya Tikhomirov, Ilya Sochenkov, Communications in Computer and Information Science, 1427, Data Analytics and Management in Data Intensive Domains, 2021, 204  crossref
    3. V. N. Shvedenko, O. V. Shchekochikhin, Y. A. Sinkevich, “A Methodology of Constructing a Distributed Information System for Searching for Scientific and Technical Information Based on an Object Data Model”, Autom. Doc. Math. Linguist., 54:5 (2020), 243  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:52
    Full-text PDF :44
    References:1
     
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