Reconstructing Lu Xuns Literary Image with Digital Narrative Methods

Abstract

Abstract: Lu Xuns works are an important part of the intellectual wealth of mankind, and the study of Lu Xuns works has dual significance for literary research and historical research. While digital technology continues to facilitate research in the humanities, existing digital initiatives on Lu Xuns works have largely remained at the stage of digital preservation, with limited application of computational methods for indepth analysis. Therefore, this paper takes the sequences of Lu Xuns symbolically significant passages as the content carrier, and employs a knowledge graph as the representational framework to reconstruct literary images across works of different genres, and to map the relationships among their constituent elements, thus proposing a new approach to digital literary studies. In this paper, the SCN2M model is constructed to integrate digital technology and humanities research, and the overall research method is divided into three phases: image element identification based on seedcorpus preparation, semantic matching of image meanings, and reconstruction and analysis of literary images. Particular attention is given to the compatibility between the digital technology method and the corpus text in each phase. The reconstructed Lu Xuns literary images present a passive, heuristic form of analytical support in comparison with what traditional literary research means present, and the research methodology demonstrates both transferability and objectivity.

Key words: Digital narrative, Lu Xun, Literary image, Adversarial training, Knowledge graph

Bu Wenru, Wang Hao, Li Xiaomin, Wang Yongsheng, Deng Sanhong. Reconstructing Lu Xuns Literary Image with Digital Narrative Methods[J]. Libraly Journal, 2026, 45(8): 43-56.

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