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COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA". / Smirnov, Ivan A.; Kuperin, Y. A.; Dmitrieva, L. A.

2019. 457-464 Paper presented at 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019.

Research output: Contribution to conference › Paper › peer-review

Harvard

Smirnov, IA, Kuperin, YA & Dmitrieva, LA 2019, 'COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA"', Paper presented at 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019, 26/08/19 - 1/09/19 pp. 457-464. https://doi.org/10.5593/SWS.ISCAH.2019.1/S27.058

APA

Smirnov, I. A., Kuperin, Y. A., & Dmitrieva, L. A. (2019). COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA". 457-464. Paper presented at 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019. https://doi.org/10.5593/SWS.ISCAH.2019.1/S27.058

Vancouver

Smirnov IA, Kuperin YA, Dmitrieva LA. COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA". 2019. Paper presented at 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019. https://doi.org/10.5593/SWS.ISCAH.2019.1/S27.058

Author

Smirnov, Ivan A. ; Kuperin, Y. A. ; Dmitrieva, L. A. / COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA". Paper presented at 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019.

BibTeX

@conference{48f9d2879d094826acfaf9efa4b3a039,
title = "COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA{"}",
abstract = "In this article we use modern approaches from machine learning, data analysis and natural language processing, text mining algorithms and methods to analyze the text of the novel “The Master and Margarita” by M. A. Bulgakov. The paper has the network of the main characters of the novel, based on their interactions with each other and distribution in the text. The links in the network selects the groups of characters with their connectedness in a plot. We also analyzed the changes in the sentiment dynamic of the plot and identified its main characteristics, revealing the complexity of the structure of this work. This dynamics is in good agreement with the content of the work. The effectiveness and efficiency of the proposed approach is demonstrated by the example of microanalysis of the novel.",
keywords = "machine learning, literature, sentiment analysis, social networks, Bulgakov, master and Margarita",
author = "Smirnov, {Ivan A.} and Kuperin, {Y. A.} and Dmitrieva, {L. A.}",
note = "6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019, 26 August – 1 September, 2019; 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019 ; Conference date: 26-08-2019 Through 01-09-2019",
year = "2019",
month = feb,
day = "1",
doi = "10.5593/SWS.ISCAH.2019.1/S27.058",
language = "English",
pages = "457--464",

}

RIS

TY - CONF

T1 - COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV “MASTER AND MARGARITA"

AU - Smirnov, Ivan A.

AU - Kuperin, Y. A.

AU - Dmitrieva, L. A.

N1 - 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019, 26 August – 1 September, 2019

PY - 2019/2/1

Y1 - 2019/2/1

N2 - In this article we use modern approaches from machine learning, data analysis and natural language processing, text mining algorithms and methods to analyze the text of the novel “The Master and Margarita” by M. A. Bulgakov. The paper has the network of the main characters of the novel, based on their interactions with each other and distribution in the text. The links in the network selects the groups of characters with their connectedness in a plot. We also analyzed the changes in the sentiment dynamic of the plot and identified its main characteristics, revealing the complexity of the structure of this work. This dynamics is in good agreement with the content of the work. The effectiveness and efficiency of the proposed approach is demonstrated by the example of microanalysis of the novel.

AB - In this article we use modern approaches from machine learning, data analysis and natural language processing, text mining algorithms and methods to analyze the text of the novel “The Master and Margarita” by M. A. Bulgakov. The paper has the network of the main characters of the novel, based on their interactions with each other and distribution in the text. The links in the network selects the groups of characters with their connectedness in a plot. We also analyzed the changes in the sentiment dynamic of the plot and identified its main characteristics, revealing the complexity of the structure of this work. This dynamics is in good agreement with the content of the work. The effectiveness and efficiency of the proposed approach is demonstrated by the example of microanalysis of the novel.

KW - machine learning

KW - literature

KW - sentiment analysis

KW - social networks

KW - Bulgakov

KW - master and Margarita

U2 - 10.5593/SWS.ISCAH.2019.1/S27.058

DO - 10.5593/SWS.ISCAH.2019.1/S27.058

M3 - Paper

SP - 457

EP - 464

T2 - 6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019

Y2 - 26 August 2019 through 1 September 2019

ER -

ID: 88949404