Artificial Intelligence and Decision Making
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Artificial Intelligence and Decision Making:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Artificial Intelligence and Decision Making, 2013, Issue 1, Pages 33–40 (Mi iipr387)  
This article is cited in 4 scientific papers (total in 4 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 (4)
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 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2025