Emerging Cross Topic Recognition in the Field Based on Topic Models:Taking Intelligent Crop Breeding as an Example
Accurately identifying cutting-edge interdisciplinary topics helps to understand the development context of disciplines,explore key development directions in the field,and provide references for future innovative and breakthrough research.The article proposes a method for identifying emerging cross topics.Firstly,a method for calculating the interdisciplinary degree of a paper is proposed,which combines disciplinary diversity and cohesion.By using this method,papers with high interdisciplinary degree are selected to obtain potential datasets.Then,the study utilizes an improved LDA model combined with domain dictionaries to identify research topics.Finally,by constructing a multidimensional emerging topic measurement model that integrates novelty,breakthrough,and influence,the study identifies emerging cross topics.This study conducts empirical analysis in the field of intelligent crop breeding,identifies 4 emerging cross topics,and validates the effectiveness of the method through literature analysis.The research findings offer valuable insights for the research and application of identifying emerging cross topics based on scientific papers.
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