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	November 1, 2004 Making Automated Classification Work by Laura Ramos with Connie Moore, Colin Teubner

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Executive Summary

Interest in automated text-classification systems continues to grow, but most firms struggle with the essential building blocks of taxonomy, concepts, and classification rules. The use of hybrid approaches — that leverage the speed of automation and the accuracy of human review — and authoritative texts to jump-start and test the resulting systems prove to be the most promising approaches.

This is an excerpt

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