Accession Number : AD0424911

Title :   AUTOMATIC DOCUMENT CLASSIFICATION. PART II ADDITIONAL EXPERIMENTS,

Corporate Author : SYSTEM DEVELOPMENT CORP SANTA MONICA CA*

Personal Author(s) : Borko, Harold ; Bernick, Myrna

Report Date : 18 OCT 1963

Pagination or Media Count : 33

Abstract : This report presents the results of a series of experiments in the techniques of automatic document classification, and compares two different classification schedules and two methods of automatically classifying documents into categories. It concludes that, while there is no significant difference in the predictive efficiency between the Bayesian and the Factor Score methods, automatic document classification is enhanced by the use of a factor-analytically-derived classification schedule. Approximatel 55 per cent of the documents were automatically and correctly classified. (Author)

Descriptors :   (*INFORMATION RETRIEVAL, AUTOMATION), (*DATA PROCESSING, INFORMATION RETRIEVAL), CLASSIFICATION, FACTOR ANALYSIS.

Distribution Statement : APPROVED FOR PUBLIC RELEASE