文本智能计算研究的主题挖掘与演化分析

目的/意义]文本智能计算是近年来的新兴交叉学科,揭示其研究动态对情报学研究有重要意义。方法/过程]从关键词共现网络的视角,以WOS核心合集中的文献为分析样本,借助复杂网络计算、社区划分以及可视化等技术手段,揭示了文本智能计算研究的主题结构和演化脉络,并总结归纳了其发展态势。结果/结论]当前文本智能计算研究的结构趋于稳定,各子领域关联性较强。研究当前主要分为5个子领域,人工智能、数据挖掘是当前的领域研究热点,文本分析领域将有所突破,并成为新的研究重心。

Topic Mining and Evolution Analysis of Text Intelligent Computing Research

Purpose/Significance]Text intelligent computing is a new interdisciplinary subject in recent years.Revealing its research trends is of great significance to information science research.Method/Process]From the perspective of keyword co-occurrence network,this paper takes the literature in WOS core collection as the analysis sample,and reveals the theme structure and evolution context of text intelligent computing research by means of complex network computing,community partition and visualization,and summarizes its development trend.Result/Conclusion]The structure of current text intelligent computing research tends to be stable,and each sub field has strong relevance.At present,the research is mainly divided into five sub fields.Artificial intelligence and data mining are the current research hotspots in the field.The field of text analysis will make a breakthrough and become a new research focus.