Advanced studies on traditional Chinese poetry style identification

@article{Yi2005AdvancedSO,
  title={Advanced studies on traditional Chinese poetry style identification},
  author={Yong Yi and Zhong-shi He and Liang-Yan Li and Tian Yu and Elaine Yi},
  journal={2005 International Conference on Machine Learning and Cybernetics},
  year={2005},
  volume={6},
  pages={3830-3833 Vol. 6}
}
Based on machine learning methods - naive Bayes, hill-climbing strategy and genetic algorithm, this paper proposes a traditional Chinese poetry style identification calculation improvement model to identify bold-and-unrestrained or graceful-and-restrained styles, that derive from machine learning Chinese classical Ci in Song Dynasty. Feature subset selection is performed based on genetic algorithm and has achieved satisfactory identification results in application. Additionally, this research… CONTINUE READING

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