以 DeepSeek 为代表的国产大模型凭借其强大的语义理解、知识生成和逻辑推理能力，正重塑学术研究的创新路径与方法体系。为系统揭示该领域的研究热点与发展趋势，基于中国知网236篇DeepSeek相关核心文献，运用LDA主题模型对文献进行量化分析，对主题词进行凝练，识别出四个热门研究主题：智能信息管理与文化服务转型；智能时代的教育与社会变革；数字经济与科技产业生态；技术风险与全球治理。基于凝练出的主题进行可视化分析以及展望。

Domestic large-scale models represented by DeepSeek, with their powerful capabilities in semantic understanding, knowledge generation, and logical reasoning, are reshaping the innovative pathways and methodological systems of academic research. To systematically reveal the research hotspots and development trends in this field, this study conducted a quantitative analysis of 236 core DeepSeek-related articles from CNKI)using the LDA topic model. By refining the topic terms, four key research themes were identified: intelligent information management and cultural service transformation; education and social change in the intelligent era; the digital economy and technology industry ecosystem; and technological risks and global governance. Based on the refined themes, a visual analysis was performed, followed by future prospects.