Transformation and Innovation of Chinese Modern and Contemporary Literature in the Context of the Digital Age

With the rapid development of digital technology, Chinese modern and contemporary literature is facing unprecedented challenges of transformation and innovation, and how to realize the innovation of literature in the context of the digital era has become the key. This study adopts a combination of natural language processing and knowledge mapping to analyze literary works’ narrative vein and character relationships. The research process includes text preprocessing, constructing co-occurrence matrix, LDA topic model analysis, knowledge graph construction and narrative line visualization. The results show that the performance of characters, emotions and plots in modern and contemporary literary works has significant characteristics, and the co-occurrence analysis reveals the close connection between literary works. Through clustering analysis and association rule mining, a significant correlation was found between the style of literary works and narrative content. It is concluded that Chinese modern and contemporary literature shows diverse narrative styles and thematic contents in the digital transformation, an important revelation for literary innovation and development.