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Recognizing Text Genres with Simple Metrics Using Discriminant Analysis
RISE, Swedish ICT, SICS.ORCID iD: 0000-0003-4042-4919
Number of Authors: 2
1994 (English)Conference paper (Refereed)
Abstract [en]

A simple method for categorizing texts into pre-determined text genre categories using the statistical standard technique of discriminant analysis is demonstrated with application to the Brown corpus. Discriminant analysis makes it possible use a large number of parameters that may be specific for a certain corpus or information stream, and combine them into a small number of functions, with the parameters weighted on basis of how useful they are for discriminating text genres. An application to information retrieval is discussed.

Place, publisher, year, edition, pages
1994, 1. , 6 p.
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-20981OAI: diva2:1041015
Proceedings of the 15th International Conference on Computational Linguistics
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-12-28

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Karlgren, Jussi
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