Cart (Loading....) | Create Account
Close category search window
 

Notice of Retraction
Study on Method of Word Segmentation in Feature Selection in Chinese Text Categorization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huang Wei ; Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China ; Liu Yi ; Gao Bing ; Yang Ke-wei

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Since the automatic word segmentation of Chinese text will bring the lack of information, method of word segmentation according to lexical chunk as segmentation unit are proposed. Use traditional segmentation method segment Chinese text based calculate mutual information between two lexical entries and adjacent frequency of two or more lexical entries, according to this calculated value judge and sign the lexical chunk by relevant words. The experimentation shows that after the word combination, the lexical chunk bear much more feature information which shares a better effect of the process. It also has proved the effect of feature selection in Chinese text categorization and enhanced the capability of text classification.

Published in:

Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on

Date of Conference:

9-10 Jan. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.