Research on Technology Opportunity Identification Based on the Fusion of Negative Online Reviews and Multi-dimensional Technology Innovation Map
From the perspective of technology demand-driven,through the extraction of negative online review topics to carry out forward-looking potential innovation solutions,the direction for enterprises can be provided to accurately identify technological innovation opportunities.Firstly,the relevant patent literature in the field of target technological innovation was retrieved and data preprocessing was carried out.The BERTopic topic clustering model was used to obtain the topics and keywords contained in the patent abstract data to screen the elements of technological innovation.Secondly,by identifying negative online reviews of products and using LDA topic model to select topics and keywords in negative online reviews,the outstanding problems of products were analyzed.Thirdly,the above-mentioned innovation elements were divided into dimensions,and the subject keywords extracted from negative online reviews were supplemented to generate an innovation dimension-innovation element table.Then,guided by the prominent problems in the field contained in negative online reviews,the multi-dimensional technology innovation map was constructed by iterative transformation with the innovation rule,and a series of potential technology innovation schemes were generated.Finally,the feasibility of this research method was verified by taking smartphone as an example.The results show that the model can effectively analyze the outstanding problems of products,identify forward-looking technological innovation opportunities,and provide theoretical references for enterprises to carry out product technology research and development accurately and efficiently.
NETL
NSTL
万方数据
