Document (#30004)

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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