Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Accurate analysis of the industrialization potential of emerging technology is of great significance for investment decisions, patent layout, resource allocation and market development.[Method/process]This paper firstly summarizes the existing evaluation methods of industrialization potential systematically, and then builds a framework of industrialization potential analysis method based on multi-source data, which includes policy environment analysis, industrial technology analysis, market quotation analysis and the fusion interpretation of all. Next, the feasibility and validity of the method are verified by case analysis of the genetic engineering vaccine technology.[Result/conclusion]This method is based on the technical panorama and integrates a variety of data sources, which can make the local characteristics of technology industrialization integrate into the overall characteristics. The multi-dimensional analysis can be mutually confirmed and complement each other to obtain more valuable results of industrialization potential analysis.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Core technology topic identification based on a large number of patent documents is helpful to detect key technologies in a technical field and to analyze the direction of the development of key technologies. It is the basic information work for technological innovation and has certain significance for researchers, enterprises and even the national level.[Method/process] This paper proposes a core technology topic identification method based on Chunk-LDAvis. Firstly, it is based on the classic LDA model to identify the topics. Then, the noun chunk is used to mark the results of the initial LDA topic identification, and the result of the Chunk-LDA topic recognition is constructed to improve its interpretability. Then based on the social network analysis method, the topic network is constructed to identify the core technical topics; based on the LDAvis toolkit, the interactive Chunk-LDAvis core technology topic association analysis map is plotted, and the hidden links of the core technical topics are found, and the core technology topic detection is assisted.[Result/conclusion] Through the empirical study on the field of nanoscale agriculture, the accuracy and feasibility of the proposed method are verified.
Hits
Hits
Downloads
Comment