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

Standard

Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods. / Barakhnin, Vladimir; Kozhemyakina, Olga; Grigorieva, Irina.

в: Applied Sciences (Switzerland), Том 12, № 3, 1674, 01.02.2022.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Barakhnin, V, Kozhemyakina, O & Grigorieva, I 2022, 'Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods', Applied Sciences (Switzerland), Том. 12, № 3, 1674. https://doi.org/10.3390/app12031674

APA

Barakhnin, V., Kozhemyakina, O., & Grigorieva, I. (2022). Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods. Applied Sciences (Switzerland), 12(3), [1674]. https://doi.org/10.3390/app12031674

Vancouver

Barakhnin V, Kozhemyakina O, Grigorieva I. Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods. Applied Sciences (Switzerland). 2022 февр. 1;12(3):1674. doi: 10.3390/app12031674

Author

Barakhnin, Vladimir ; Kozhemyakina, Olga ; Grigorieva, Irina. / Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods. в: Applied Sciences (Switzerland). 2022 ; Том 12, № 3.

BibTeX

@article{3c7576e2604249e79b307b6ab574f627,

title = "Determination of the Features of the Author{\textquoteright}s Style of A.S. Pushkin{\textquoteright}s Poems by Machine Learning Methods",

abstract = "This paper presents the study of the author{\textquoteright}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{\textquoteright}s style of A.S. Pushkin using machine learning methods. This paper de-scribes 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{\textquoteright}s style.",

keywords = "Features of the author{\textquoteright}s style, Machine learning, Neural network, Poetry, Stylometry, Text model",

author = "Vladimir Barakhnin and Olga Kozhemyakina and Irina Grigorieva",

note = "Funding Information: Funding: This research was funded by Russian Science Foundation, grant number 19-18-00466. Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = feb,

day = "1",

doi = "10.3390/app12031674",

language = "English",

volume = "12",

journal = "Applied Sciences (Switzerland)",

issn = "2076-3417",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "3",

}

RIS

TY - JOUR

T1 - Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods

AU - Barakhnin, Vladimir

AU - Kozhemyakina, Olga

AU - Grigorieva, Irina

PY - 2022/2/1

Y1 - 2022/2/1

N2 - 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 de-scribes 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.

AB - 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 de-scribes 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.

KW - Features of the author’s style

KW - Machine learning

KW - Neural network

KW - Poetry

KW - Stylometry

KW - Text model

UR - http://www.scopus.com/inward/record.url?scp=85124219535&partnerID=8YFLogxK

U2 - 10.3390/app12031674

DO - 10.3390/app12031674

M3 - Article

AN - SCOPUS:85124219535

VL - 12

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

SN - 2076-3417

IS - 3

M1 - 1674

ER -

ID: 35540125