PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Berardi G., Esuli A., Sebastiani F. Utility-theoretic ranking for semi-automated text classification. In: ERCIM News, vol. 92 pp. 52 - 53. Ercim, 2013.
 
 
Abstract
(English)
Researchers from ISTI-CNR, Pisa, have addressed the problem of optimizing the work of human editors who proofcheck the results of an automatic text classifier with the goal of improving the accuracy of the automatically classified document set
URL: http://ercim-news.ercim.eu/images/stories/EN92/EN92-web.pdf
Subject Utility theory
Semi-automated text classification
I.2.6 Learning


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