Current Status and Prospect of Research on the Influence of Academic Papers Based on Content Mining
At present,with the rapid development of artificial intelligence technology represented by ChatGPT,the functional optimization of the text mining platform has accelerated the research process of academic paper impact based on content mining,and it is urgent to comprehensively sort out the research status and progress of academic paper impact measurement based on content mining.By combing the research on the influence of academic papers based on content mining at home and abroad,this paper proposes to explain the connotation of the influence of academic papers from three dimensions:academic,social,and technological.On this basis,this paper focuses on the relevant content of"what academic papers affect,how it affects,and how much it influences"based on the time axis,and expounds the indicators and methods of measuring the influence of academic papers based on content mining.At present,the impact measurement of academic papers based on content mining needs to use the text mining platform represented by ChatGPT and digital intelligence technology to further explore the relevant semantic features,deeply explore the influence mechanism and theory behind citations,and try to comprehensively measure the influence of papers from multiple dimensions such as academic,social,and technological,and the granularity of words,sentences,and articles.