Outbreak Opportunity Identification of Disruptive Technology Based on Anomaly Detection from the Perspective of Application
[Research purpose]Timely and accurate identification of disruptive signals of key technologies in various application fields is conducive to the advance layout of industries,and it holds significant value in enhancing the core competitiveness of countries and enterpri-ses.[Research method]Guided by technology application,this study proposes a recognition model of disruptive technology outbreak op-portunities.Firstly,the innovation relationship and core semantic contained in the paper and patent data are extracted.Secondly,the multi-source data of market environment and public perception are fused.Finally,the Sentence-BERT and unsupervised anomaly detection al-gorithm are utilized to identify abnormal points.[Research conclusion]An empirical study was conducted using relevant data in the field of flood hazards from 2014 to 2023,resulting in the detection of a total of 142 abnormal points.The effectiveness of the identification model was verified by analyzing abnormal points and market outbreak trends.Moreover,four types of disruptive technology opportunities from the perspective of application were summarized.This study provides a new perspective and reference for the opportunity identification of disruptive technologies in potential application fields.
万方数据
维普
