Studies on Traditional Chinese Poetry Style Identification

被引：4

作者：

Yi, Y ^{[1
]}

He, ZS ^{[1
]}

Li, LY ^{[1
]}

Yu, T ^{[1
]}

机构：

[1] Chongqing Univ, Coll Comp Sci & Technol, Chongqing 400044, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

natural language processing; machine learning; text categorization; literature style identification;

D O I：

10.1109/ICMLC.2004.1378534

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2936 / 2939

页数：4

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