EconPapers    
Economics at your fingertips  
 

Word‐word associations in document retrieval systems

M. E. Lesk

American Documentation, 1969, vol. 20, issue 1, 27-38

Abstract: The SMART automatic document retrieval system is used to study association procedures for automatic content analysis. The effect of word frequency and other parameters on the association process is investigated through examination of related pairs and through retrieval experiments. Associated pairs of words usually reflect localized word meanings, and true synonyms cannot readily be found from first or second order relationships in our document collections. There is little overlap between word relationships found through associations and those used in thesaurus construction, and the effects of word associations and a thesaurus in retrieval are independent. The use of associations in retrieval experiments improves not only recall, by permitting new matches between requests and documents, but also precision, by reinforcing existing matches. In our experiments, the precision effect is responsible for most of the improvement possible with associations. A properly constructed thesaurus, however, offers better performance than statistical association methods.

Date: 1969
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asi.4630200106

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:amedoc:v:20:y:1969:i:1:p:27-38

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1936-6108

Access Statistics for this article

American Documentation is currently edited by Javed Mostafa

More articles in American Documentation from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:amedoc:v:20:y:1969:i:1:p:27-38