Title :
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
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.334
