• DocumentCode
    2553220
  • Title

    Keyword and keyphrase extraction from single Hindi document using statistical approach

  • Author

    Siddiqi, Sifatullah ; Sharan, Aditi

  • Author_Institution
    Sch. of Comput. & Syst. Sci., Jawaharlal Nehru Univ., New Delhi, India
  • fYear
    2015
  • fDate
    19-20 Feb. 2015
  • Firstpage
    713
  • Lastpage
    718
  • Abstract
    In this paper we propose an unsupervised, domain independent as well as corpus independent approach for automatic keyword extraction. In second part of the paper we have suggested an extension of the approach to extract keyphrases from the document. The approach is general and can be applied to any language. However, we have tested the approach on Hindi language. Our approach combines the information contained in frequency and spatial distribution of a word in order to extract keywords from a document. Our work is especially significant in the light that it has been implemented and tested on Hindi which is a resource poor and underrepresented language.
  • Keywords
    natural language processing; statistical analysis; text analysis; Hindi document; Hindi language; automatic keyphrase extraction; automatic keyword extraction; corpus independent approach; frequency distribution; spatial distribution; unsupervised domain independent approach; Algorithm design and analysis; Data mining; Distribution functions; Graphical models; Signal processing; Signal processing algorithms; Standards; Hindi; Keyphrase; Keyword; Standard Deviation; Statistical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-5990-7
  • Type

    conf

  • DOI
    10.1109/SPIN.2015.7095377
  • Filename
    7095377