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基于俄媒语料库的新冠肺炎主题词与疫情变迁研究

Corpus-based Study on the Changes of Key Words and Epidemic Situations of COVID-19 in Russian Media
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摘要 作者选取中国新冠疫情爆发与相持阶段俄罗斯媒体的相关报道,构建小型语料库,以此为基础,进行了两方面研究:首先,将语料分为3个时期,9个阶段,使用Python数据包提取信息贡献度,归纳每一阶段最高贡献度的50个词汇的语义场,并以实际语料的批评话语分析进行验证,研究俄媒对中国疫情报道主题的变迁;其次使用Wordless软件制作整体语料的词云图,研究2020年1月9日至2020年3月16日期间俄媒关注焦点的一致性问题。研究发现,俄媒疫情报道主题词的发展和变迁经历了3个时期,每一时期俄媒均表现出支持中国抗疫的积极态度,且各时期、各时间段的关注焦点均与本时期的重要事件具有高相关度;中国疫情描述及其对俄罗斯经济的影响是俄媒持续关注的话题。研究为基于语料库的俄语话语研究及中国新冠肺炎疫情期间的俄罗斯社会态度和意识形态问题提供了有效的样例。 This paper selected news report from Russian Media on COVID-19 since its outbreak in China(Jan.9-March 16,2020)and constructs a small-scale corpus.Based on the corpus,it conducts a research from two perspectives.First,corpus data are divided into 3 periods that consist of 9 stages,and the data are extracted with Python in terms of data information contribution.In each stage,50 key words and their semantic fields are summarized and are also testified with real data from the corpus via critical corpus analysis.Via these steps the theme change of Russian news report of COVID-19 in China is handled.Second,word clouds via software Wordless explore the consistency of news focus of Russian media during Jan 9-March 16,2020.It concludes that:the change of key words in Russian news report on COVID-19 in China has experienced three stages,with each one supporting China against the pandemic.Meanwhile,such news report in each stage(period)is closely related with other major events.Description and influence of COVID-19 in China on Russian economy have been the constant topic in Russian news report.This research has implications for the corpus-based research on Russian discourse and Russian social attitudes and ideology during the outbreak of COVID-19 in China.
作者 陶源 TAO Yuan(School of Foreign Languages,Southeast University,Nanjing 211189,China)
出处 《南昌航空大学学报(社会科学版)》 2021年第1期114-124,共11页 Journal of Nanchang Hangkong University(Social Sciences)
关键词 新冠肺炎 主题词 语料库研究 俄媒 COVID-19 key words corpus-based research Russian media
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