A weight-based feature extraction approach for text classification

Jung Yi Jiang, Shie Jue Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose a weight-based feature extraction approach to reduce the number of features for text classification. The number of extracted features is equal to the number of document classes and the feature values are obtained according to the distributions of words over class partitions. Each word of the original word set contributes a weight to each extracted feature and a transformation matrix is formed. By using the transformation matrix, the original document set is converted to a new set with a smaller number of features. The proposed approach has two advantages. Trial-and-error for determining the appropriate number of extracted features can be avoided. Computation demand is small and the method runs fast. Experimental results obtained from real-world data sets have shown that our method can perform better than other methods.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
PublisherIEEE Computer Society
ISBN (Print)0769528821, 9780769528823
DOIs
Publication statusPublished - 2007 Jan 1
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: 2007 Sep 52007 Sep 7

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CountryJapan
CityKumamoto
Period07-09-0507-09-07

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'A weight-based feature extraction approach for text classification'. Together they form a unique fingerprint.

  • Cite this

    Jiang, J. Y., & Lee, S. J. (2007). A weight-based feature extraction approach for text classification. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 [4427809] (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). IEEE Computer Society. https://doi.org/10.1109/ICICIC.2007.109