Machine learning with ann as important technology for new-age literary studies

Abstract

The use of artificial neural networks within the framework of machine learning in literary studies demonstrates significant potential for updating and improving research methods. The use of ANNs makes it possible to analyze voluminous text corpora, identify hidden patterns, classify genres, conduct stylometric studies and perform deep semantic analysis. They provide automation of routine stages of working with text, which allows you to focus on more creative and interpretative tasks. In the future, the integration of ANNs into the humanities will contribute not only to increasing the accuracy and efficiency of scientific research, but also to the formation of a new scientific paradigm, where technologies and classical humanitarian methods interact for a more complete disclosure of literary processes and cultural phenomena.