A Method for Chinese Text Classification Based on Three-Dimensional Vector Space Model

Author

Zhang, Jixian ; Wang, Qinglin ; Li, Yuan ; Li, Dongmei ; Hao, Yuexing

Author_Institution

Sch. of Autom., Beijing Inst. of Technol. Beijing, Beijing, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1324

Lastpage

1327

Abstract

Text classification is an important research direction of text mining and the research of Chinese text automatic classification is also becoming a research focus of intelligent classification. Against the particularity of the Chinese text classification, this paper presents a three-dimensional vector space model on the basis of the vector space model to improve the accuracy and efficiency of text classification. Experimental results show that the accuracy rate increased to 98.8125% which proves that the algorithm is effective.

Keywords

data mining; natural language processing; text analysis; vectors; automatic Chinese text classification; intelligent text classification accuracy rate improvement; intelligent text classification efficiency improvement; text mining; three-dimensional vector space model; Classification algorithms; Dictionaries; Feature extraction; Solid modeling; Support vector machine classification; Text categorization; SVM; feature vector; field dictionary; statistical methods; text classificaiton;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.334

Filename

6394572