基于NLP和统计方法的唐代不同时期诗歌风格特征分析

Analysis of Stylistic Features of Tang Dynasty Poetry in Different Periods Based on NLP and Statistical Methods

唐诗是我国的文化瑰宝,其数量大,风格和主题多样。为了对不同时期唐诗的特征进行讨论,基于自然语言处理(natural language processing,NLP),利用K-means++聚类分析、重复测量方差分析和配对样本t检验等统计方法对初唐、盛唐、中唐、晚唐4个时期诗歌的风格特征和差异进行分析。结果发现,初唐和盛唐两个时期的诗歌风格具有较为明显的差异,中唐和晚唐差异较小。

Tang dynasty poetry is a cultural treasure of China,with a large number of works,diverse styles and themes.In order to discuss the characteristics of Tang dynasty poetry in different periods,this paper used natural language processing(NLP)and statistical methods such as K-means++clustering analysis,repeated measures ANOVA,and paired sample t-test to analyze the stylistic characteristics and differences of poetry in the Early Tang,Golden Age of Tang,Middle Tang,and Late Tang periods.The results showed that there were significant differences in the poetic styles between the Early Tang and Golden Age of Tang periods,while the differences between the Middle Tang and Late Tang periods were relatively small.