融合LDA主题权重修正模型的科研文献主题挖掘与量化分析——以国外学业指导研究为例  

The Theme Excavation and Quantitative Analysis of the Scientific Research Literature of the Model Modified by LDA——An Example Analysis of the Academic Guidance Abroad

作　　者：李善兴[1] 盛磊 吴昊[1] LI Shan-xing;SHENG Lei;WU Hao(School of Automotive Engineering,Jilin University,Changchun 130012,China)

机构地区：[1]吉林大学汽车工程学院,吉林长春130012

出　　处：《情报科学》2020年第8期112-119,共8页Information Science

基　　金：吉林大学2018年学生工作研究课题““双一流”建设中学生学业发展指导工作相关问题研究”(XGY201803)。

摘　　要：【目的/意义】改进传统的从科研文献挖掘对策启示的文本分析方法,构建了一种融合LDA主题权重修正模型的科研文献量化分析模型【方法/过程】选取WOS数据库前沿文献,基于文献可视化工具,通过文献共现方法,绘制学业指导发展动态及趋势特征的知识图谱并加以阐释;利用R语言实现LDA建模,制取我国学业指导的"困境-对策"主题词矩阵,与国外研究前沿进展进行比对,反思现存学业指导工作不足及缺失【结果/结论】能够有效地从借助该模型,从科研文献中较为精准地获取更细颗粒度的对策词项,从而有助于推动学术文献向实务工作嵌入和转化的效果和效率。【Purpose/significance】This paper pays attention to modifying the traditional textual analysis that discovers inspiration and countermeasures from scientific research papers,and to construct a model of quantitative analysis modified by LDA.【Method/process】Selecting the frontier research results from WOS database based on visualization tools,this paper maps and elaborates the knowledge graph of academic guidance trending;it also makes use of R-language to construct LDA model and the matrix of predicament and countermeasures.Through comparing with cutting-edge researches,then the paper reflects on the lack in academic guidance.【Result/conclusion】Through building the LDA model,this paper aims to excavate more key words connected with countermeasures accurately from other researches,so that can propel the transformation efficiency between academic literature and practical work.

关 键 词：主题挖掘 LDA建模量化分析 科研文献 

分 类 号：G250.2[文化科学—图书馆学]