Using bag-of-concepts to improve the performance of support vector machines in text categorization
Number of Authors: 2
2004 (English)Conference paper (Refereed)
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
Computer and Information Science
IdentifiersURN: urn:nbn:se:ri:diva-23849OAI: oai:DiVA.org:ri-23849DiVA: diva2:1042927
The 20th international conference on Computational Linguistics (COLING'04)