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唐朝应制诗人物社会关系网络及主题演化研究——基于《全唐诗》的分析 被引量:1

Research on Characters’Social Relation Network and Topic Evolution of Yingzhi Poems in Tang Dynasty--An Analysis Based on Quantangshi
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摘要 随着数字技术的发展,数字人文成为了社会科学领域的热点主题,运用数字人文的方法和工具研究《全唐诗》中的应制诗,能够从宏观上为唐朝宫廷生活和诗坛发展研究中长期讨论的主题提供新的研究视角。抽取《全唐诗》中的应制诗,组织“唐朝应制诗数据集”,在此基础上发现应制诗中皇帝和诗人的社会关系网络,并利用Gephi对其进行模块化分析,从而探测以唐朝皇帝为中心的应制诗创作网络社区;利用Python对应制诗文本进行词频统计,抽取出高频词并按照主题聚类,从而探求《全唐诗》中唐朝应制诗的主题演化。从唐朝应制诗的内部结构和文本特征两个层次进行分析,印证了唐玄宗时期应制诗主要传承了武则天、唐中宗时期风格,武则天时期神圣物象被广泛使用等结论,进一步证明数字人文在古籍研究中的潜能。 With the development of digital technology,digital humanities have become a hot topic in the field of social science.Using methods and tools of digital humanities to analyze the Yingzhi poems in Quantangshi can provide new research perspectives for the long-term topics discussed in the study of Tang imperial life and the development of poetry in a macroscopic way.The paper extracts the Yingzhi poems in Quantangshi and organizes the"Yingzhi Poetry Data Collection in Tang Dynasty".On this basis,it discovers the social relation network between emperors and poets in Yingzhi poems.Gephi is used to conduct a modular analysis,thus to discover the Yingzhi poems composing network communities centered on the emperors of Tang Dynasty.Python is used to conduct a statistic analysis of word frequency,to extract high-frequency words and cluster them according to topics,so as to explore the topic evolution of Yingzhi poems in Quantangshi.The analysis from the two levels of the internal structure and text characteristics of Yingzhi poems in Tang Dynasty confirms the conclusions that Yingzhi poems in Emperor Xuanzong period mainly inherited the styles of Wu Zetian and Emperor Zhongzong,and that sacred objects were widely used during the Wu Zetian period.The potential of digital humanities in the study of ancient books is testified.
作者 宋雪雁 刘寅鹏 Song Xueyan;Liu Yinpeng
出处 《兰台世界》 2021年第10期39-46,共8页 Lantai World
基金 国家社会科学基金项目“数字人文视角下历史档案资源知识聚合与知识发现研究”(项目编号:19BTQ102)。
关键词 全唐诗 应制诗 社会关系网络 主题演化 数字人文 Quantangshi Yingzhi poem social relation network topic evolution digital humanities
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