• DocumentCode
    2678370
  • Title

    Idea density — A potentially informative characteristic of retrieved documents

  • Author

    Covington, Michael A.

  • Author_Institution
    Inst. for Artificial Intell., Univ. of Georgia, Athens, GA, USA
  • fYear
    2009
  • fDate
    5-8 March 2009
  • Firstpage
    201
  • Lastpage
    203
  • Abstract
    Idea density, or number of propositions divided by number of words, is a well-known psycholinguistic measurement which can now be estimated reliably by software. Preliminary tests indicate that idea density distinguishes between documents about the same subject written for specialist and nonspecialist audiences, and that it does not correlate with lexical diversity or Flesch-Kincaid readability.
  • Keywords
    information retrieval; Flesch-Kincaid readability; document retrieval; idea density; potentially informative characteristics; psycholinguistic measurement; Artificial intelligence; Density measurement; Humans; Information retrieval; Logic; Production; Psychology; Software measurement; Speech; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2009. SOUTHEASTCON '09. IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-3976-8
  • Electronic_ISBN
    978-1-4244-3978-2
  • Type

    conf

  • DOI
    10.1109/SECON.2009.5174076
  • Filename
    5174076