A Review of Research on Identification of Disruptive Technologies Based on Text Mining
[Objective/Significance]The summarization of basic theories and identification methods of disruptive technologies can help grasp the technology development trend and promote the construction of intelligent intelligence service system towards scientific and technological innovation in the era of digital intelligence.[Methods/Processes]This paper firstly clarifies the connotation of disruptive technology and its related concepts,secondly introduces the concept of text mining method and the difference and connection with bibliometrics,and finally summarizes the identification methods of disruptive technologies based on text mining and carries out comparative analysis.[Limitations]Current text mining techniques applied in the field of disruptive technologies recognition are immature and need to be further improved and used in combination with other methods to optimise recognition.[Results/Conclusions]The identification methods of disruptive technologies based on text mining include mutation word detection,terminology word analysis,co-word analysis,text clustering,topic modelling,and semantic analysis.Text mining focuses on identifying disruptive technologies from the perspective of technical attributes,and deeply explores the potential technical themes hidden in scientific and technological text data.