RUSSIAN STUDIES ON DOSTOEVSKY FROM THE PERSPECTIVE OF BIG DATA ANALYSIS (1844-2020)

IF 0.2 3区 文学 0 LITERATURE, SLAVIC
Liu Na
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引用次数: 0

Abstract

The development of information technology gradually turned Digital Humanities into a new hotspot in the fi eld of humanities research. The combination of data analysis and humanities research, the data-based thinking and presentation of research objects, will open up a new path for the studies in academic history. This article attempts to use data technology to analyze the research documents of Russian studies on Dostoevsky from 1844 to 2020, and to visualize the development track, research topics and research of representative Dostoevsky scholars, so as to comprehensively outline the development process, appearance, characteristics and rules of Dostoevsky studies in Russia, sort and analyze the methods and achievements by big data analysis in Dostoevsky studies.
大数据分析视角下的俄罗斯陀思妥耶夫斯基研究(1844-2020)
随着信息技术的发展,数字人文学科逐渐成为人文学科研究的新热点。数据分析与人文研究相结合,以数据为基础的思维方式和研究对象的呈现方式,将为学术史研究开辟一条新的道路。本文试图利用数据技术对1844年至2020年期间俄罗斯陀思妥耶夫斯基研究的研究文献进行分析,对代表性陀思妥耶夫斯基学者的发展轨迹、研究课题和研究进行可视化,从而全面勾勒出俄罗斯陀思妥耶夫斯基研究的发展历程、面貌、特点和规律,对陀思妥耶夫斯基研究中的大数据分析方法和成果进行梳理和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
RUSSKAIA LITERATURA
RUSSKAIA LITERATURA LITERATURE, SLAVIC-
CiteScore
0.20
自引率
0.00%
发文量
32
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