Annotation: The article presents research aimed at analyzing methods of text authorship identification and verification. The methods of transforming texts into vector representations and determining authorship through text classification are investigated. A dataset is formed, on which the investigated methods are tested, after which conclusions about their effectiveness are drawn. Further research directions are also proposed

Keywords: authorship verification, authorship identification, classification, deep learning methods, machine learning, N-gram, TF-IDF, PCA