计算机工程与应用2018，Vol.54Issue(1)：186-190,5.DOI:10.3778/j.issn.1002-8331.1607-0016
基于机器学习的宋词风格识别
Classification of SonCi style using machine learning algorithms
赵建明 1李春晖 2姚念民2
作者信息
- 1. 福建师范大学福清分校电子与信息工程学院,福建福清350300
- 2. 大连理工大学,辽宁大连116024
- 折叠
摘要
Abstract
This paper presents a study of the style of SonCi using many machine learning algorithms whose parameters are optimized by the results of experiments. At the same time, the reverse analyses is performed to get which words have the most effects on the decision making. This method can be used in analyzing the writing style of some author.关键词
机器学习/自然语言处理/宋词风格Key words
machine learning/Natural Language Processing(NLP)/SonCi style分类
信息技术与安全科学引用本文复制引用
赵建明,李春晖,姚念民..基于机器学习的宋词风格识别[J].计算机工程与应用,2018,54(1):186-190,5.
