文本分割技术研究现状与发展趋势  

Research status and development trend of text segmentation technology

作　　者：刘爽 LIU Shuang(Wuhan Institute of Design and Sciences,Wuhan 430000,China)

机构地区：[1]武汉设计工程学院,武汉430000

出　　处：《计算机应用文摘》2022年第13期83-85,共3页Chinese Journal of Computer Application

摘　　要：文章梳理了国内外文本分割研究现状,介绍了文本分割研究的知识结构和知识特征。文章以中国知网中主题为文本分割的112篇核心期刊文献和WoS核心合集中标题为text segmentation的156篇期刊论文为样本数据进行分析,主要研究方法是社会网络分析法和共词分析法,使用SATL Ucinet和CiteSpace等软件对文本分割学术期刊文献的高产作者以及关键词等进行了特征分析。通过对国内外相关文献外部特征和内容特征的分析,剖析了国内外文本分割的研究现状与研究热点,旨在为文本分割研究提供参考。This paper combs the research status of text segmentation at home and abroad,and shows the knowledge structure and knowledge characteristics of text segmentation research.In this paper,112 core journal documents with the theme of text segmentation in CNKI and 156 journal papers with the title of text segmentation in WoS core collection are used as sample data for analysis.The main research methods are social network analysis and co word analysis.SATI,Ucinet and CiteSpace are used to analyze the characteristics of the source,volume,high-yield authors and keywords of academic journal documents with text segmentation.Through the analysis of the external and content characteristics of relevant literature at home and abroad,this paper shows the research status and research hotspots of text segmentation at home and abroad,so as to provide reference for the research of text segmentation in the future.

关 键 词：文本分割 UCINET 分析 研究热点 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]