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NCJRS Abstract


The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

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NCJ Number: NCJ 167649  
Title: Intelligent Conceptual Scanning and Categorizing of Documents (From Computerization in the Management of the Criminal Justice System: Proceedings of the Workshop and the Symposium on Computerization of Criminal Justice Information at the Ninth United Nations Congress on the Prevention of Crime and t
Author(s): R V de Mulder
Sale: Criminal Justice Press/Willow Tree Press
P.O. Box 249
Monsey, NY 10952
United States
Publication Date: 1996
Pages: 13
Type: Technical assistance reports
Origin: Finland
Language: English
Annotation: This paper explains the idea of a concept processor, a computer program that can rank a limited number of legal documents or other documents according to their relevance with respect to criteria specified by the user.
Abstract: The concept processor should be able to extract a maximum of information from the user and store this information for later use. It should also be flexible enough to deal with a variety of concepts and with changes of concepts over time. The concept processor rests on the logic of sets. The program developed as a first step in implementing a concept processor applies Bayesian statistics to the word use in the documents to calculate the chance that a document is relevant. It also offers initial help to the user to decide which documents should be a-priori candidates for exemplars and counter-exemplars. Teachers have used the program to mark students. It has reduced the time normally required to mark as many as 200 assignments at a time. The similarity scores that the program uses have been useful in detecting fraudulent papers. A prototype has also been developed for classifying legal and other documents according to the topic. The system has potential usefulness for searching large databases relevant to areas such as criminal investigations or journalistic research.
Main Term(s): Computer aided operations
Index Term(s): Document analysis ; Computer software
 
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/Publications/abstract.aspx?ID=167649

* A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's web site is provided.


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