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.
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References
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© 2011 Springer-Verlag Berlin Heidelberg
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Neumayer, R., Mayer, R., Nørvåg, K. (2011). Combination of Feature Selection Methods for Text Categorisation. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_89
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DOI: https://doi.org/10.1007/978-3-642-20161-5_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20160-8
Online ISBN: 978-3-642-20161-5
eBook Packages: Computer ScienceComputer Science (R0)