科技情报研究2025，Vol.7Issue(1)：65-74,10.DOI:10.19809/j.cnki.kjqbyj.2025.01.006
数字人文视域下研究方法的演变:基于CNKI数据与大语言模型的量化分析
The Evolution of Research Methods in the Digital Humanities Perspective:A Quantitative Analysis Based on CNKI Data and a Large Language Model
摘要
Abstract
[Purpose/significance]This paper aims to explore the evolution trend of research methods in the field of digi-tal humanities with the help of large language model technology.[Method/process]This paper mainly focuses on the da-ta of CNKI journal articles,selects the general Chinese large language model GLM-4,uses prompt engineering and chain of thought to extract and cluster the abstract data,of papers and analyzes its evolution trend through quantitative processing.[Result/conclusion]The study shows that GLM-4 can well identify and extract research methods from com-plex abstract data.Analyzing the evolution trend in chronological order,it is found that research methods such as"in-terview survey"and"grounded theory"are gradually marginalized,while machine learning and other related research methods are gradually becoming mainstream.This article reveals the evolution trend of research methods in the field of Chinese digital humanities,and gives the research results of digital humanities a richer and more comprehensive cultural connotation.关键词
数字人文/大语言模型/GLM-4/提示词工程/思维链/机器学习Key words
digital humanities/Large language model/GLM-4/promt engneering/Chain of Thought/machine learning引用本文复制引用
孙光耀,王东波..数字人文视域下研究方法的演变:基于CNKI数据与大语言模型的量化分析[J].科技情报研究,2025,7(1):65-74,10.基金项目
2021年国家社会科学基金重大项目"中国古代典籍跨语言知识库构建及应用研究"(编号:21&ZD331) （编号:21&ZD331）
