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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
URN: urn:nbn:se:ri:diva-23849OAI: diva2:1042927
The 20th international conference on Computational Linguistics (COLING'04)
Available from: 2016-10-31 Created: 2016-10-31

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