摘要
【目的/意义】随着全球产业数字化进程的发展,大模型产业的开发已成为数字经济发展的核心和国家软实力的体现,把握重要战略机遇期,提升大模型在我国科技创新中的应用水平,对于推动产业升级以及国家和社会的发展具有深远意义。【方法/过程】首先采用LDA模型政策文本挖掘方法对我国现阶段已出台的大模型产业政策文本开展质性研究,定位政策关注领域,发掘核心主题;然后基于PMC指数模型对政策文本进行量化评价,深入研究我国大模型产业政策的制定情况。【结果/结论】我国应通过强化知识产权政策保障体系建设、拓宽政策视野、延长政策时效、完善大模型产业主体的多元化与包容性,以实现大模型产业的可持续发展。【创新/局限】将LDA模型与PMC指数模型相融合,对我国出台的大模型产业政策进行全面的量化评估,深入分析政策优劣之处,最终通过PMC曲线图直观展示了选取政策样本的单项指标与整体评估情况。本文所提出的观点将为我国各地大模型产业的发展提供更为全面的指导与经验借鉴。
【Purpose/significance】With the development of global industrial digitalization,the development of AI large models has become the core of the development of the digital economy and the embodiment of national soft power.【Method/process】Firstly,qualitative research will be conducted on the current Big Model policies in China using the LDA model for policy text mining to identify the policy focus areas and uncover key themes.Subsequently,a quantitative evaluation of the policy text will be carried out based on the PMC index model to further study China's Big Model industry policies【.Result/conclusion】It is imperative for China to fortify the intellectual property rights policy protection system,broaden its policy perspective for the future,extend policy durability,and enhance the diversity and inclusivity of the key players in the Big Model industry,all aiming to achieve the sustainable development of the Big Model industry.【Innovation/limitation】By integrating the LDA model with the PMC index model,a comprehensive quantitative evaluation of China's policy on the large-scale model industry is conducted.Through an in-depth analysis of the strengths and weaknesses of the policy,a visually appealing PMC curve is utilized to illustrate the selection of policy samples based on individual indicators and overall assessments.The insights presented in this paper will offer comprehensive guidance and invaluable insights for the development of large-scale model industries across China,enriching the landscape of policy guidance and experiential references.
作者
王思
张洪铭
WANG Si;ZHANG Hongming(Colledge of Information Management,Heilongjiang University,Harbin 150006,China;Institute of Studies,Jilin Academy of Social Sciences,Changchun 130033,China;School of Business and Management,Jilin University,Changchun 130000,China)
出处
《情报科学》
北大核心
2025年第4期182-192,共11页
Information Science
基金
吉林省社会科学院基金“政策工具视角下吉林省数智化治理政策量化分析及优化研究”。
关键词
大模型
政策文本
PMC指数模型
量化研究
对策建议
large model
policy text
PMC index model
quantitative research
suggestions and countermeasures
