Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods

Abstract

This paper presents the study of the author’s style of A.S. Pushkin based on the comparison of his poetic texts with the texts of contemporary poets. The purpose of this study is to determine the features of the author’s style of A.S. Pushkin using machine learning methods. This paper describes the construction of several classifications based on different groups of features, as well as the classification based on a combined set of features from different groups. The quality of all constructed classifications is also analyzed; special attention is paid to the interpretation of the neural network solution and the identification of features of the author’s style.

Keywords

• stylometry
• poetry
• text model
• features of the author’s style
• machine learning
• neural network