• DocumentCode
    3639679
  • Title

    Is shallow semantic analysis really that shallow? A study on improving text classification performance

  • Author

    Przemysław Maciołek;Grzegorz Dobrowolski

  • Author_Institution
    AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakó
  • fYear
    2010
  • Firstpage
    455
  • Lastpage
    460
  • Abstract
    The paper presents a graph-based, shallow semantic analysis-driven approach for modeling document contents. This allows to extract additional information about meaning of text and effects in improved document classification. Its performance is compared against the “legacy” bag-of-words and Schenker et al. approaches with k - NN classification based on Polish and English news articles.
  • Keywords
    "Semantics","Speech","Training","Feature extraction","Buildings","Dictionaries","Measurement"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
  • ISSN
    2157-5525
  • Print_ISBN
    978-1-4244-6432-6
  • Electronic_ISBN
    2157-5533
  • Type

    conf

  • DOI
    10.1109/IMCSIT.2010.5680029
  • Filename
    5680029
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3639679