DocumentCode
2865757
Title
Chinese Text Classification Based on Summarization Technique
Author
Jiang, Xiao-Yu ; Fan, Xiao-Zhong ; Chen, Kang
Author_Institution
Beijing Inst. of Technol., Beijing
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
362
Lastpage
365
Abstract
Two approaches to text classification based on summarization technique are proposed: in the first approach, the heuristic rules of auto-summarization are used to select and weight features for every category, and texts are classified by these features; in the second approach, the text summarization is directly used for classification instead of the original text. Experimental results show that the combination of summarization technology and classification technology can not only reduce the time of feature selection and classification but also improve the performance of text classification.
Keywords
abstracting; classification; feature extraction; natural language processing; text analysis; Chinese text classification; auto-summarization; feature selection; heuristic rules; text summarization; Clothing; Computer science; Data mining; Feature extraction; Robustness; Statistical analysis; Testing; Text categorization; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location
Shan Xi
Print_ISBN
0-7695-3007-9
Electronic_ISBN
978-0-7695-3007-9
Type
conf
DOI
10.1109/SKG.2007.68
Filename
4438570
Link To Document