Research On The Identification And Evolution Of Key Generically Industrial Technologies Based On Text Mining

The key to overcoming difficulties and seizing opportunities lies in achieving breakthroughs and upgrading in the field of key generically industrial technologies.However,due to the characteristics of industrial key generically technologies,industrial key generically technologies face the problem of double blindness of technical information and market information,which affects the decision making of industrial key generically technology innovation subjects and restricts industrial key generically technology innovation.Therefore,how to accurately identify industrial key generically technologies in different fields,explore the evolution of industrial key generically technologies and realize the development of industrial key generically technologies has become the focus of scholars’ research.This paper takes industrial key generically technology as the research object,discusses the identification method of industrial key generically technology,sorts out the development of industrial key generically technology,reveals the evolution law of industrial key generically technology,and puts forward countermeasure suggestions to promote the development of industrial key generically technology.Firstly,the concepts of industrial key generically technology,industrial key generically technology identification,industrial key generically technology evolution,technology elements are defined;social network theory,technology evolution theory and innovation chain theory are sorted out,and a research framework for industrial key generically technology identification and evolution is constructed based on innovation chain and technology evolution-related theories to lay the foundation for further research.Secondly,it summarises the common,relevant,beneficial,basic and critical characteristics of the key generically technology of the industry,screens the indexes and methods for measuring the characteristics of the key generically technology of the industry,takes intelligent manufacturing equipment as an example,adopts the Derwent database as the data source,introduces the text mining method,extracts the patent technology themes in the field of intelligent manufacturing equipment,measures the characteristics of different patent technology themes,screens the technology themes that meet the conditions by setting the threshold value,identifies the key generically technology of the industry,and evaluates the final identification results.Thirdly,the evolutionary dynamics of key generically industrial technologies are divided into technology push and market demand pull.Combining web news data and patent literature,the text mining method is used to extract market demand topics and patent technology topics,and the feature word co-occurrence similarity,cosine similarity,semantic similarity and entropy power method are combined to construct a topic matching model to measure the matching degree between patent technology topics and market demand topics,and the strength of patent technology topics and market demand topics are combined to measure market demand pull and technology push to explore the evolutionary dynamics of different key generically industrial technologies.Fourth,the SAO structure analysis method is introduced,the SAO structure extraction rules are formulated,the SAO structure of three industrial key generically technologies in the field of intelligent manufacturing equipment is extracted,and the core technology elements within different industrial key generically technologies are screened in combination with the social network analysis method,the nodes of the technology evolution path are determined,the correlation relationships of different nodes are analyzed,and the time attributes of the technology elements are integrated to visualize the evolution path of different industrial key generically technologies.Fifthly,we analyse the evolutionary trends of key generically technology themes and technology elements in the industry,analyse the characteristics of key generically technology themes and their internal technology elements,construct several hidden Markov prediction models,evaluate the validity of the models,and then predict the evolutionary trends of key generically technology themes and their internal technology elements in the industry.Finally,countermeasures and suggestions for promoting the development of key generically industrial technologies are proposed at the national level,industry level and enterprise level.The main suggestions include: improving the supporting services for the identification of key generically industrial technologies,clarifying the R&D subjects of key generically industrial technologies,improving the incentive policies for technological innovation of key generically industrial technologies,improving the patent system and the management system of basic research;building technological innovation alliances for key generically industrial technologies,improving the quality of technological intermediary services for key generically industrial technologies,reasonably planning the patent applications for key generically industrial technologies;grasping the opportunities for key generically industrial technologies,make full use of intellectual property protection policies and actively participate in the research and development of key generically industrial technologies,reveal the evolution law of key generically technologies in the industry.This study enriches the theoretical system of industrial key generically technology identification and evolution,proposes new ideas of industrial key generically technology identification,delves into the industrial key generically technology itself,explores technology evolution dynamics,technology evolution paths and technology evolution trends,obtains high-quality intelligence information on industrial key generically technology,reveals technology evolution laws,and provides reference for technology decisions such as industrial key generically technology resource allocation and patent layout.