文本挖掘领域研究现状与趋势分析

Research Status and Trend of Text Mining

为了解文本挖掘领域的研究现状,探测文本挖掘领域研究前沿的发展趋势。以Web of Science数据库为数据源,利用CiteSpace软件对2007~2016年间文本挖掘主题有关的文献进行可视化分析,结合多视角共被引分析,绘制文本挖掘领域研究的知识图谱。文本挖掘的研究主要有情感分析与主题分析、文本挖掘理论及主要算法模型、生物医学研究、概念与语义关系发现、其它领域应用5大类,而未来文本挖掘应用主要集中在4个方面:学术科研领域、生命科学领域、社交媒体、商务智能。

To understand the research status of text mining,this paper maps the emerging research fronts and hot domain of text mining based on the citation analysis and CO-citation analysis of the research literature in text mining with the tool of cite space software.The data is downloaded from the web of Science database with the time span of 2007~ 2016.The research topics of Text mining include sentiment analysis and subject analysis,theory and algorithms of text mining,biomedical research,concept and semantic relations,other applicationareas.The application areas of text mining are mainly concentrated in four areas：academic research,life sciences,social media,business intelligence.