article · 2010

Random Subspace Method in Text Categorization

Mehrdad J. Gangeh, Mohamed S. Kamel, Robert P. W. Duin

Cited by 16Abstract and details only

Abstract

In text categorization (TC), which is a supervised technique, a feature vector of terms or phrases is usually used to represent the documents. Due to the huge number of terms in even a moderate-size text corpus, high dimensional feature space is an intrinsic problem in TC. Random subspace method (RSM), a technique that divides the feature space to smaller ones each submitted to a (base) classifier (BC) in an ensemble, can be an effective approach to reduce the dimensionality of the feature space. Inspired by a similar research on functional magnetic resonance imaging (fMRI) of brain, here we address the estimation of ensemble parameters, i.e., the ensemble size (L) and the dimensionality of feature subsets (M) by defining three criteria: usability, coverage, and diversity of the ensemble. We will show that relatively medium M and small L yield an ensemble that improves the performance of a single support vector machine, which is considered as the state-of-the-art in TC.

Cite this paper

APA 7

Gangeh, M. J., Kamel, M. S., & Duin, R. P. W. (2010). Random Subspace Method in Text Categorization. https://doi.org/10.1109/icpr.2010.505

MLA 9

Gangeh, Mehrdad J., et al. “Random Subspace Method in Text Categorization.” 2010, pp. 2049–52, https://doi.org/10.1109/icpr.2010.505.

Chicago

Gangeh, Mehrdad J., Mohamed S. Kamel, and Robert P. W. Duin. 2010. “Random Subspace Method in Text Categorization.” https://doi.org/10.1109/icpr.2010.505.

Harvard

Gangeh, M.J., Kamel, M.S. and Duin, R.P.W. (2010) ‘Random Subspace Method in Text Categorization’. Available at: https://doi.org/10.1109/icpr.2010.505.

BibTeX

@article{gangeh2010random,
  title = {{Random Subspace Method in Text Categorization}},
  author = {Gangeh, Mehrdad J. and Kamel, Mohamed S. and Duin, Robert P. W.},
  pages = {2049--2052},
  year = {2010},
  doi = {10.1109/icpr.2010.505}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.