• DocumentCode
    3756531
  • Title

    Visualization of Subtopics of the Thematic Document Collection Using the Context-Semantic Graph

  • Author

    Alexander Sboev;Ivan Moloshnikov;Dmitry Gudovskikh;Roman Rybka

  • Author_Institution
    NRC Kurchatov Inst., Moscow, Russia
  • fYear
    2015
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    An approach for visualization of nested topics within large collections of documents is proposed. The approach is based on set of parameters: information entropy, Kullback-Leibler divergence, Ginzburg algorithm, similarity the distributions of keywords and key phrases in the documents with Bernoulli´s theoretical distributions. The results of comparisons of our approach with implementations based on TF-IDF approaches are presented.
  • Keywords
    "Visualization","Algorithm design and analysis","Resource management","Arctic","Context","Indexes","Blogs"
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CSCI.2015.124
  • Filename
    7424062
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3756531