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

Ivan A. Smirnov, Yu. A. Kuperin, L. A. Dmitrieva

First published: 2019https://doi.org/10.5593/SWS.ISCAH.2019.1/S27.058View metrics

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.

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Publication details

Title
COMPUTER ANALYSIS OF THE NOVEL BY M. A. BULGAKOV "MASTER AND MARGARITA"
Authors
Ivan A. Smirnov, Yu. A. Kuperin, L. A. Dmitrieva
Proceedings
6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019
Publisher
STEF92 Technology
Year
2019
Pages
457-464
SWS Citekey
Smirnov201927457464
ISSN
2682-9940
ISBN
978-619-7408-90-4
Language
en
Publication type
Proceedings Paper
Keywords
machine learningliteraturesentiment analysissocial networksBulgakovmaster and Margarita
References8

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