Title :
The research progress of Text Classification Techniques
Author :
Dong, Kuifeng ; Gao, Jun ; Zhang, Ming
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Maritime Univ., Shanghai, China
Abstract :
With the rapid development of global information technology and networking, text categorization has become more popular areas for researchers in the research field. The article describes the framework, the classic models and some new text categorization models which current emerged in text categorization, and then summarizes technology advances in recent years and some research work on the future about basic text categorization technology.
Keywords :
pattern classification; text analysis; classic models; text categorization models; text categorization technology; text classification techniques; Accuracy; Classification algorithms; Computational modeling; Information filters; Text categorization; Classified Methods; Classified Models; Machine Learning; Text Classification;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182361
