Affiliations: [a] Basic Education Department, Zhengzhou Railway Vocational and Technical College, Zhengzhou, China | [b] Henan University of Animal Husbandry and Economy, Zhengzhou, China
Correspondence:
[*]
Corresponding author: Xiaoliang Sun, Henan University of Animal Husbandry and Economy, Zhengzhou, China. E-mail: [email protected].
Abstract: With the rapid development of big data and artificial intelligence technology, the methods and approaches of literature research have also undergone profound changes. This study aims to explore and analyze how these technologies are integrated with literary studies and the new perspectives and opportunities that this integration brings to literary studies. The study investigates the use of advanced techniques in literary analysis, with a particular focus on the analysis of metaphors in literary works, the interaction between literature and social media, and statistical methods in literary criticism. Further, the influence of these technologies on literary theory and education is discussed, and a series of revelatory conclusions are drawn. Collectively, these technologies have opened new portals to literary research, providing a wealth of tools and resources for literary researchers.
Keywords: Big data, English literature, machine learning, intelligent literary criticism
