Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination

Xuexian Han; Guowei Zu; Wataru Ohyama; Tetsushi Wakabayashi; Fumitaka Kimura

doi:10.1007/978-3-540-30483-8_57

Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination

Xuexian Han, Guowei Zu, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Chapter in Book/Report/Conference proceeding › Chapter

9 Citations (Scopus)

Abstract

In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalization to the relative word frequency, the principal component analysis (K-L transformation) and the power transformation were applied to the feature vectors, which were classified by the Euclidean distance, the linear discriminant function, the projection distance, the modified projection distance and the SVM. In order to improve the classification accuracy, the multi-classifier combination by majority vote was employed.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Chi-Hung Chi, Kwok-Yan Lam
Publisher	Springer Verlag
Pages	463-468
Number of pages	6
ISBN (Print)	3540238980, 9783540238980
DOIs	https://doi.org/10.1007/978-3-540-30483-8_57
Publication status	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3309
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-30483-8_57

Cite this

Han, X., Zu, G., Ohyama, W., Wakabayashi, T., & Kimura, F. (2004). Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination. In C.-H. Chi, & K.-Y. Lam (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 463-468). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3309). Springer Verlag. https://doi.org/10.1007/978-3-540-30483-8_57

Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination. / Han, Xuexian; Zu, Guowei; Ohyama, Wataru et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Chi-Hung Chi; Kwok-Yan Lam. Springer Verlag, 2004. p. 463-468 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3309).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Han, X, Zu, G, Ohyama, W, Wakabayashi, T & Kimura, F 2004, Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination. in C-H Chi & K-Y Lam (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3309, Springer Verlag, pp. 463-468. https://doi.org/10.1007/978-3-540-30483-8_57

Han X, Zu G, Ohyama W, Wakabayashi T, Kimura F. Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination. In Chi CH, Lam KY, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 463-468. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30483-8_57

Han, Xuexian ; Zu, Guowei ; Ohyama, Wataru et al. / Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Chi-Hung Chi ; Kwok-Yan Lam. Springer Verlag, 2004. pp. 463-468 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Accuracy improvement of automatic text classification based on feature transformation and multi-classifier combination

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