English Literature

English literature studies are increasingly leveraging computational methods to analyze vast textual corpora, moving beyond traditional qualitative approaches. Current research focuses on applying natural language processing (NLP) techniques, including transformer-based models like BERT and GPT, to tasks such as sentiment analysis, topic modeling, named entity recognition, and even literary translation and generation. This interdisciplinary approach allows for large-scale analyses of literary works, revealing patterns and insights previously inaccessible, ultimately enriching both literary scholarship and our understanding of language and human expression.