Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel
This provides insights into storytelling differences between historical and literary genres, but it is incremental as it applies existing NLP methods to new textual data.
The study compared social networks and sentiments of main characters in a Chinese historical text (Records) and a historical novel (Romance) using NLP, finding that Romance has a more complex and dynamic network with differing character influences.
Digital humanities is an important subject because it enables developments in history, literature, and films. In this paper, we perform an empirical study of a Chinese historical text, Records of the Three Kingdoms (\textit{Records}), and a historical novel of the same story, Romance of the Three Kingdoms (\textit{Romance}). We employ natural language processing techniques to extract characters and their relationships. Then, we characterize the social networks and sentiments of the main characters in the historical text and the historical novel. We find that the social network in \textit{Romance} is more complex and dynamic than that of \textit{Records}, and the influence of the main characters differs. These findings shed light on the different styles of storytelling in the two literary genres and how the historical novel complicates the social networks of characters to enrich the literariness of the story.