Research on Topic Exploration of DeepSeek Applications Based on LDA Model

YIN Qiang

High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (2) : 16.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (2) : 16.

Research on Topic Exploration of DeepSeek Applications Based on LDA Model

  • YIN Qiang
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Abstract

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.

Key words

DeepSeek / LDA模型 / 人工智能治理 / 数字化转型

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YIN Qiang. Research on Topic Exploration of DeepSeek Applications Based on LDA Model[J]. High-Technology and Commercialization. 2026, 32(2): 16

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