Classifying the Hungarian web
Published 1 January 2003Open access
András Kornai, Marc Krellenstein, M Mulligan, David Twomey, Fruzsina Veress, Alec Wysoker
Citations5
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TL;DR
Based on a simple statistical language, model, and the large-scale supporting evidence from vizsla, it is argued that in topic classification only positive evidence matters.
Abstract
In this paper we present some lessons learned from building vizsla, the keyword search and topic classification system used on the largest Hungarian portal, [origo.hu]. Based on a simple statistical language, model, and the large-scale supporting evidence from vizsla, we argue that in topic classification only positive evidence matters.
Keywords
Computer ScienceDecision Sciences
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