摘要
传统的历史与文学研究通常是案例式地分析具体的文学作品与词人的背景.文学作品的内容、情感与含义和作者的生平经历、师承流派、家国时代背景息息相关,传统的分析方法难以直观地了解以上各项内容的关联.以宋词作为文学作品代表进行分析,提出了一套基于文本关联与时空可视分析的方法.它支持文学研究者从词人的生平轨迹和不同生活年代的背景进行分析与对比,探索不同年代、不同经历的词作在文本主题上的相关性与独特性.并且,通过对宋词文本的音律情感可视化与文本意象的关联分析,让文学研究者拥有多维度的视角去了解宋词文本的特性,不仅仅是分析文本本身,而是支持词作与词人的年谱和时代背景进行交叉验证.与宋代文学研究专家合作,通过对他们进行用户实验研究,证明了该方法可以有效地帮助专家对词人的文学生涯及作品进行深入分析,并探索出新的研究视角,为今后的研究提供了更广阔的分析基础.
The work of traditional historical and literary studies analyzes the specific literary works and background of writers in a case-by-case way. The content, emotion, and meaning of a literary work is closely related to its author’s life experience and the background. However, it is difficult to understand the above-mentioned connections by traditional methods, which may not address on the overall pictures. In this work, we propose a tailored text correlation and spatio-temporal visual analytics methods for classical literature, and we take Songci(a representative literature style in Song Dynasty in China) as an example. Those methods allow literary researchers analyze the trajectories of poets and the relevance and uniqueness of topic of literatures in different time period and their living background. Furthermore, through visual analysis of the rhythm, intentions, and expressions of emotions in the text, literary researchers can form multi-dimensional understanding. We cooperated with literary experts of Song Dynasty and conducted user study with them, which proves that the method we proposed can effectively help experts make an in-depth analysis of the literary career and work of the poets. Moreover, our method can provide them a new insight in a comparative way.
作者
张玮
谭思危
刘凯
石磊
陈思明
陈为
Zhang Wei;Tan Siwei;Liu Kai;Shi Lei;Chen Siming;Chen Wei(State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310058;Rheinische Friedrich-Wilhelms-Universit?t Bonn, Bonn 53113;Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin 53757)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2019年第10期1687-1697,共11页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金重点项目(61772456,61761136020)
关键词
文学可视分析
宋词可视化
文本关联
时空可视分析
literature visual analytics
visualization of Songci
text correlation
spatio-temporal visual analytics