The Use of Discriminant Analysis to Select Content‐Bearing Words

Martin Dillon and Peggy Federhart

Journal of the American Society for Information Science, 1982, vol. 33, issue 4, 245-253

Abstract: This article presents a method for identifying good indexing terms from frequently occurring stems. The method uses discriminant analysis to distinguish terms that refer to topics from general terms that do not refer to topics. The steps in the method are the selection of discriminating variables, the calibration of predefined groups and the derivation of discriminant functions from them, and the classification of a second, unknown set of terms and its evaluation. The method is tested by applying it to the Harris Survey Question database, which covers 121 different surveys and includes the text of over 12, 000 Individual questions. The evaluation demonstrates the success of the method.

Date: 1982
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asi.4630330409

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:jamest:v:33:y:1982:i:4:p:245-253

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571

Access Statistics for this article

More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().