DocumentCode
423332
Title
Studies on traditional Chinese poetry style identification
Author
Yi, Yong ; He, Zhong-Shi ; Li, Lung-Yan ; Yu, Tian
Author_Institution
Coll. of Comput. Sci. & Technol., Chongqing Univ., China
Volume
5
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
2936
Abstract
Based on a machine learning method, Naive Bayes, this paper proposes a traditional Chinese poetry style identification calculation model to distinguish bold-and-unrestrained or graceful-and-restrained styles, which derives from machine learning Chinese classical Ci in song dynasty and has achieved satisfactory identification results in application.
Keywords
Bayes methods; knowledge representation; learning (artificial intelligence); literature; natural languages; text analysis; Chinese classical Ci; Chinese poetry style identification; Naive Bayes algorithm; bold and unrestrained style; graceful and restrained style; knowledge representation; machine learning method; natural language processing; song dynasty; text categorization; Computer science; Educational institutions; Electronic mail; Helium; Humans; Learning systems; Machine learning; Natural language processing; Natural languages; Text categorization;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1378534
Filename
1378534
Link To Document