A Traditional Chinese Poetry Style Identification Calculation Improvement Model
基于遗传算法改进诗词风格判别的研究

Based on Machine Learning methods--Nalve Bayes and Genetic Algorithm, this paper proposes a Tradi- tional Chinese Poetry Style Identification Calculation Improvement Model to identify Bold-and-Unrestrained or Grace- ful-and-Restrained styles, that derive from Machine Learning Chinese Classical Ci in Song Dynasty. Feature subset se- lection is performed based on Genetic Algorithm and has achieved satisfactory identification results in application.