基于内容挖掘的学术论文影响力研究现状与展望

Current Status and Prospect of Research on the Influence of Academic Papers Based on Content Mining

当前,以ChatGPT为代表的人工智能技术飞速发展,文本挖掘平台的功能优化加快有关内容挖掘的学术论文影响力研究进程,全面梳理基于内容挖掘的学术论文影响力测度的研究现状和进展迫在眉睫。通过梳理国内外利用内容挖掘方法测度学术论文影响力的研究,提出从学术、社会和技术3个维度阐述学术论文影响力的内涵。在其基础上,以时间为轴线,重点论述“学术论文影响什么、怎么影响,以及影响程度如何”的相关内容,深入阐述借助内容挖掘技术的学术论文影响力测度指标和方法。目前,基于内容挖掘的学术论文影响力测度还需利用以ChatGPT为代表的文本挖掘平台和数智技术进一步挖掘相关语义特征,深入探究引文背后的影响机制及理论,尝试从学术、社会和技术等维度,词语、句子、篇章等粒度深入文本内容,综合测度论文影响力。

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.