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Using Linguistic Data for Genre Classification
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. Datorlingvistik.ORCID iD: 0000-0002-4838-6518
2005 (English)In: Proceedings of SAIS-SSLS, 2005Conference paper (Refereed)
Abstract [en]

Automatic categorization of texts into genres, rather than subject categories, is typically quite difficult. We have run a series of experiments on an annotated Swedish text corpus to determine whether the use of linguistic metadata (in this case, parts of speech) can be used to improve the performance of such categorizers. Compared to the traditional approach of using word frequencies, we consistently achieved better results and reduced the error rate by 8.6%

Place, publisher, year, edition, pages
Keyword [en]
text categorization, genre detection
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
URN: urn:nbn:se:uu:diva-18166OAI: oai:DiVA.org:uu-18166DiVA: diva2:45938
Available from: 2006-11-20 Created: 2006-11-20 Last updated: 2016-03-08

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Megyesi, Beata
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