The Identification of technology-crossing topics is of great significance.This paper analyzes the content of technology-crossing firstly,then reviews the main methods of technology-crossing topic identification.Finally,it summarizes the advantages and disadvantages of existing research.The current main methods for technology-crossing topic identification include informetrics,citation analysis,network analysis,text mining,knowledge graph,and machine learning,which involve identifications of weak signals,breakthrough technology and disruptive technology.There are three main characteristics in existing research:1)transition from morphological metrics to text content analysis;2)association analysis and text mining methods becoming mainstream;3)comprehensive application of multiple methods and technologies.Future research should strengthen the identification of micro-level thematic features,integrate multiple research methods innovatively,enhance the integration of multivariate data,and develop key technologies for the fusion and application of heterogeneous bigdata in multiple fields.
维普
万方数据