The stylistic evolution of modern and contemporary Chinese literary works carries the profound accumulation of history and culture, and the study of its development trend can reveal the social, cultural and ideological changes behind it. This paper analyzes the trend of style evolution of modern and contemporary Chinese literary works through text mining techniques. The research methodology includes using TF-IDF keyword extraction and LDA topic model analysis to process and analyze a large amount of literary work review data. The results show that “realism”, “romanticism” and “modernism” are the most frequently occurring themes, and the styles of literary works have diversified over time. The results show that “realism”, “romanticism” and “modernism” are the most frequent themes, and the styles of literary works have diversified over time. Specifically, “Literary Genres and Styles” accounted for the highest percentage of literature in the last ten years, at 19%, while “Creative Techniques and Narrative Techniques” and “Psychological and Humanistic Exploration” accounted for 16% and 13% respectively. In addition, through the LDA model analysis, it was found that the evolution of literary styles shows a gradual development from realism to romanticism and then to modernism. The study shows that with the development of the Internet and big data technology, the forms and techniques of literary creation are constantly innovated and show a diversified trend.
