Machine Learning in Innovative Literary Studies: Features and Applications under SHIVA and WARMI Philological Environments

Abstract

The article is devoted to the study of the features of the application of machine learning technologies in modern innovative literary studies in the conditions of the SHIVA and WARMI world. The main directions of using intelligent algorithms for the analysis of literary texts, their advantages, limitations and development prospects are considered. The conclusion is made about the high efficiency of hybrid models that combine machine learning methods and traditional literary analysis.