Automatic detection of text genre

Published 1 January 1997

Brett Kessler, Geoffrey Numberg, Hinrich Schütze

Citations358

TL;DR

A theory of genres as bundles of facets, which correlate with various surface cues, are proposed, and it is argued that genre detection based on surface cues is as successful as Detection based on deeper structural properties.

Abstract

As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on surface cues is as successful as detection based on deeper structural properties.

Keywords

Computer Science

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