• DocumentCode
    2054634
  • Title

    Mining and computing phrase weight in texts

  • Author

    Sarasvady, S. ; Vijayakumar, P. ; Jocabs, Daisy

  • Author_Institution
    Amrita Vishwa Vidyapeetham Univ. Ettimadai, Coimbatore, India
  • fYear
    2013
  • fDate
    29-31 Aug. 2013
  • Firstpage
    371
  • Lastpage
    374
  • Abstract
    Phrase identification using frequencies is employed in text mining studies. In this work, we propose that all phrases occur in a document are not equal as the semantic relevance between the phrases and text varies. We proposed to identify the relevance of phrases in natural language texts using phrase weights. The pilot study results are worth to investigate further.
  • Keywords
    data mining; natural language processing; text analysis; natural language texts; phrase identification; phrase weight mining; semantic relevance; text mining; Educational institutions; Frequency measurement; Indexes; Length measurement; Natural languages; Semantics; Size measurement; Phrase analysis; Phrase weights; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2013 Third International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4799-0047-3
  • Type

    conf

  • DOI
    10.1109/INTECH.2013.6653680
  • Filename
    6653680