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
Link To Document