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作 者:江珊[1] 常定姁 张开阳 龚芙蓉[1] 张宁[1] 盛芳 JIANG Shan;CHANG Dingxu;ZHANG Kaiyang;GONG Furong;ZHANG Ning;SHENG Fang
出 处:《大学图书馆学报》2025年第1期93-102,共10页Journal of Academic Libraries
摘 要:生成式人工智能的出现为图书馆的学科情报服务带来了新的机遇和挑战。文章基于工作实例,以ChatGPT-4为具体工具,探讨了利用生成式人工智能辅助制作学科领域论文分析报告的途径与方法。研究涵盖了从学科领域的确定到报告内容的生成,论述了在检索式生成、数据准备、数据分析与可视化、文献内容挖掘等环节中有效利用该工具的策略。研究结果表明,ChatGPT在学科领域分析报告的多个阶段均能发挥重要作用,其灵活性、智能化与高效性显著提升了文献分析的深度和质量,为学科情报服务的优化提供了实证依据。The emergence of generative artificial intelligence has introduced unprecedented opportunities and challenges to subject information services in libraries.This study explores how to utilize generative artificial intelligence,particularly ChatGPT-4,to assist in the production of literature analysis reports in specific disciplines.The research mainly addresses the following questions:Can generative artificial intelligence solve the main difficulties of literature analysis?How can generative artificial intelligence improve the efficiency and depth of literature analysis?And how can libraries maximize the use of this technology to enhance the effectiveness of subject information services?This study aims to explore the specific application methods of generative artificial intelligence in subject literature analysis,covering the entire process from determining the subject area to generating the report content.The research focuses on analyzing the application of generative artificial intelligence in literature retrieval,data preparation,data analysis and visualization,as well as content mining,highlighting the advantages of this technology in overcoming the limitations of traditional tools.This study employed a case analysis method,systematically reviewing existing literature and combining practical cases to illustrate how generative artificial intelligence addresses challenges such as data accuracy,comprehensiveness of literature retrieval,and the limitations of existing analytical tools in subject information services.It points out that the two major advantages of ChatGPT-text understanding and generation,and code generation—are highly compatible with the needs of subject information analysis scenarios,and demonstrates through examples the functional selection and utilization of ChatGPT based on the needs at various stages of literature analysis,providing a general approach for using generative artificial intelligence to assist in subject information analysis.The research results indicate that ChatGPT can significan
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