Combination of feature selection methods for text categorisation

Authors:
Robert Neumayer;Rudolf Mayer;Kjetil Nørvåg
Affiliations:
Norwegian University of Science and Technology, Department of Computer and Information Science, Trondheim, Norway;Vienna University of Technology, Institute of Software Technology and Interactive Systems, Vienna, Austria;Norwegian University of Science and Technology, Department of Computer and Information Science, Trondheim, Norway
Venue:
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Year:
2011

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Abstract

Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We show some results of an extensive study of feature selection approaches using a wide range of combination methods. We performed experiments on 18 test collections and report a subset of the results.