摘要
本文对2013—2022年的语体研究进行知识图谱可视化分析,从1905篇CNKI中文学术期刊数据库的语体研究论文中提取出35个高频核心关键词,在此基础上依次进行词频矩阵分析、相异系数矩阵分析、系统聚类分析和多维尺度分析等数据挖掘方法,通过可视化的知识图谱将语体相关核心关键词之间的隐性关系显性化,由此探讨十年来我国语体研究的热点和趋势。研究发现,十年来国内语体研究聚焦于本体研究和应用分析两方面以及语体理论、语体类型、语体研究方法、语体语法和语体教学五个方向。本文认为,语体研究将朝着更为精细化、专门化和系统化的方向发展,整体研究格局趋于平衡,研究方法与跨学科交叉研究参与度等方面也将得以丰富与提升。
This paper visualizes and analyzes the knowledge graph of stylistic research from 2013 to 2022,and 35 highfrequency core keywords are extracted from 1905 stylistic research papers in CNKI Chinese academic journal database,based on which data mining methods such as word frequency matrix analysis,dissimilarity matrix analysis,systematic clustering analysis and multi-dimensional scaling(MDS)analysis are performed in turn.The implicit relationships between core keywords related to style are further visualized through the visualized knowledge map,and thus the paper explores the hot spots and development trends of stylistic research in China over the past decade.This paper found that in the past decade,domestic stylistic research has focused on two aspects:ontology research and application analysis,as well as five directions:stylistic theory,style types,research methods,stylistic grammar,and stylistic teaching.In the future,stylistic research will develop in the direction of better refinement,specialization and systematization,the overall research pattern will tend to be balanced,and research methods and interdisciplinary cross-research participation will be enriched and enhanced.
作者
尉薇
WEI Wei(Department of Chinese Language and Literature,Fudan University,Shanghai 200433,China)
出处
《华文教学与研究》
2024年第1期85-94,F0003,共11页
TCSOL Studies
关键词
语体
多维特征
系统聚类
知识图谱
热点趋势
style
multidimensional features
systematic clustering
knowledge mapping
hot spots and trends