Cross-domain Evolution of Academic Innovation Based on Distributional Semantic Analysis
[Purpose/Significance]Research on academic innovation is crucial for understanding the laws of scientific development and promoting collaboration and communication in scientific research.For the inadequacies in current research on innovation evolution analysis,this study utilizes distributional semantic analysis techniques to examine the application scenario changes of the same academic innovation in different fields by mining contex-tual information,and tracks and explores the cross-domain evolutionary characteristics of academic innovation.[Method/Process]To address the aforementioned research questions,it first conducted an exploratory research plan,including cross-domain distribution measures,distributional semantic representation,inter-domain contextual differences measures,and feature term extraction of domain evolution of academic innovation.Subsequently,it se-lected a specific innovation to empirically test the research plan.[Result/Conclusion]The results demonstrate that the research plan constructed in this study effectively captures the cross-domain distribution and evolutionary char-acteristics of academic innovation in practical applications.The findings expand the scope of academic innovation research and further knowledge evolution research into the innovation entity level,enabling the tracking of differen-tial evolutionary patterns of specific innovations across different domains.
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