Abstract: [Purpose / Significance] The emergence of digital tools and technologies has expanded the traditional understanding of knowledge in the fields of humanities, arts and social sciences, and redefined the boundaries between humanities, social sciences, arts and natural sciences. [Method / Process] Based on the special research situation of "Su Ci", this paper introduces the research of text polarity emotion analysis into historiography, in order to enhance the scientificity of methods and the quantifiable degree of data support. By digitizing the paper data (such as OCR) to generate data files that are convenient for computer use, and importing them into the emotion analysis system, the corresponding relationship of "emotion age" is generated based on the existing historical data obtained by the same method. Based on the relevant quantitative historical database (providing the support of Historical Geographic Information), the model of "emotion time space" is established. [Results / Conclusions] The establishment of this model is expected to provide new support for the establishing the knowledge base of classical literature works, the in-depth study of traditional culture, the textual research of the creation time of the ancients, the history of the characters, the related historical events and the local historical records.

Key words: Digital Humanities, historical research, emotional analysis, Chinese word segmentation