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
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;
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
DOI :
10.1109/ICECS.2009.24
