Document (#30005)

Author
Sebastiani, F.
Title
Classification of text, automatic
Source
Encyclopedia of language and linguistics. 2nd ed. Ed.: K. Brown. Vol. 14
Imprint
Amsterdam : Elsevier Science Publishers
Year
2006
Pages
S.457-462
Abstract
Automatic text classification (ATC) is a discipline at the crossroads of information retrieval (IR), machine learning (ML), and computational linguistics (CL), and consists in the realization of text classifiers, i.e. software systems capable of assigning texts to one or more categories, or classes, from a predefined set. Applications range from the automated indexing of scientific articles, to e-mail routing, spam filtering, authorship attribution, and automated survey coding. This article will focus on the ML approach to ATC, whereby a software system (called the learner) automatically builds a classifier for the categories of interest by generalizing from a "training" set of pre-classified texts.
Content
Vgl. auch unter: http://www.math.unipd.it/~fabseb60/Publications/ELL06.pdf.
Theme
Automatisches Klassifizieren

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  5. Sun, A.; Lim, E.-P.; Ng, W.-K.: Performance measurement framework for hierarchical text classification (2003) 0.17
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