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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CITATION STYLE
Neumayer, R., Mayer, R., & Nørvåg, K. (2011). Combination of feature selection methods for text categorisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6611 LNCS, pp. 763–766). Springer Verlag. https://doi.org/10.1007/978-3-642-20161-5_89
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