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Using bag-of-concepts to improve the performance of support vector machines in text categorization
RISE, Swedish ICT, SICS.
Number of Authors: 2
2004 (English)Conference paper (Refereed)
Abstract [en]

This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as input to a Support Vector Machine classifier, and the results show that there are certain categories for which concept-based representations constitute a viable supplement to word-based ones. We also demonstrate how the performance of the Support Vector Machine can be improved by combining representations.

Place, publisher, year, edition, pages
2004, 7.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-23849OAI: oai:DiVA.org:ri-23849DiVA: diva2:1042927
Conference
The 20th international conference on Computational Linguistics (COLING'04)
Available from: 2016-10-31 Created: 2016-10-31

Open Access in DiVA

fulltext(229 kB)4 downloads
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File name FULLTEXT01.pdfFile size 229 kBChecksum SHA-512
eb32013357e94bd8fa067b13c037bba96774a7207261ea5af3fa4f24519682eaa7bb39b4be42d811647af89312b52301f5e0dd10a35f042ddbf8eae4c20003ac
Type fulltextMimetype application/pdf

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SICS
Computer and Information Science

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