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大数据视域下余华文学作品文本挖掘研究

Research on Text Mining of Yu Hua's Literary Works from the Perspective of Big Data
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摘要 利用大数据和人工智能方法精准识别海量学术成果的主流学术关键,挖掘作品内涵知识及分析文学主题关联尤为重要,本文针对余华文学作品的研究文献开展主题特征、行文脉络研究,在数字人文视域下为把握作者创作倾向和特点提供依据。结合数据挖掘和主题演化的方法对中国知网余华文学作品相关文献进行分析,确认余华文学作品研究核心团体。再对余华文学文献进行文本挖掘,发掘出余华文学研究热点及关联。本文挖掘出了余华作品的核心主题、现实意义和艺术价值,为以其小说为素材的影视改编、艺术创作尽可能还原主题起到积极作用,可提供有效参考和借鉴。 Using big data and artificial intelligence methods to accurately identify the mainstream academic keys of massive academic achievements,it is particularly important to dig out the connotative knowledge of the works and analyze the literary theme associations.This article focuses on the research literature of Yu Hua's literary works to carry out thematic characteristics and con⁃textual research,in the digital humanities perspective The following provides a basis for grasping the author's creative tendency and characteristics.This paper combines data mining and theme evolution methods to analyze the relevant literature of Yu Hua's literary works on CNKI,and confirms the core group of Yu Hua's literary works.Then,it conducts text mining on Yu Hua's literary literature,and unearths the research hotspots and relevance of Yu Hua's literature.The core themes,practical significance and ar⁃tistic value of Yu Hua's works are unearthed,which plays a positive role in the film adaptation and artistic creation using his novels as the material to restore the theme as much as possible,which can provide effective reference and reference.
作者 杨秀璋 武帅 宋籍文 任天舒 廖文婧 刘建义 夏换 于小民 Yang Xiuzhang;Wu Shuai;Song Jiwen;Ren Tianshu;Liao Wenjing;Liu Jianyi;Xia Huan;Yu Xiaomin(School of Information of Guizhou University of Finance and Economics,Guiyang 550025;Lianshui County Finance Bureau,Huai'an 223400;Guizhou Expressway Group Co.,Ltd.,Guiyang 550027;Guizhou Key Laboratory of Economics System Simulation of Guizhou University of Finance and Economics,Guiyang 550025)
出处 《现代计算机》 2022年第14期21-27,34,共8页 Modern Computer
基金 贵州省科技计划项目(黔科合基础〔2019〕1041、黔科合基础〔2019〕1403、黔科合基础〔2020〕1Y279、黔科合基础〔2020〕1Y420) 贵州省教育厅青年科技人才成长项目(黔教合KY字〔2021〕135) 贵州财经大学2021年度校级项目(2021KYQN03)。
关键词 大数据 文本挖掘 主题演化 文学作品 社交网络分析 Big data text mining theme evolution literary works social network analysis
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