DocumentCode
3151472
Title
Text Categorization Method Based on Fuzzy Correlation Analysis
Author
Fan, Donghong ; Song, Lixia
Author_Institution
Dept. of Phys. & Electron. Eng., Qinzhou Univ., Qinzhou, China
fYear
2009
fDate
28-30 Dec. 2009
Firstpage
196
Lastpage
198
Abstract
To assign an unlabeled text document into more than one appropriate category, a novel text multi-categorization method based on fuzzy correlation analysis is proposed in this paper. A fuzzy simple correlation analysis show the strength and the direction of linear relationship between two fuzzy attributes, which is useful for us to analyze the relationships between the unlabeled text documents and the predefined categories.
Keywords
fuzzy set theory; text analysis; fuzzy simple correlation analysis; text multicategorization method; unlabeled text document; Appropriate technology; Computer science; Frequency; Fuzzy sets; Mathematics; Physics; Testing; Text categorization; Training data; Fuzzy Correlation; Fuzzy Correlation Analysis; Fuzzy set; Text Multi-Categorization;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental and Computer Science, 2009. ICECS '09. Second International Conference on
Conference_Location
Dubai
Print_ISBN
978-0-7695-3937-9
Electronic_ISBN
978-1-4244-5591-1
Type
conf
DOI
10.1109/ICECS.2009.24
Filename
5383528
Link To Document