Dynamics of Sino-American relations: A decade-long analysis using topic modeling
Abstract. This study explores the thematic evolution of Sino-American relations over the past decade using Latent Dirichlet Allocation (LDA) topic modeling. We compiled a comprehensive dataset of academic papers, news articles, government reports, and social media posts, focusing on themes such as economic competition, technological rivalry, military strategy, diplomatic maneuvers, and ideological conflict. Our analysis identifies key sub-topics within these themes, including trade tariffs, 5G technology, and military expenditures, providing a nuanced understanding of the factors influencing bilateral relations. Temporal trends highlight the shifting prominence of these themes, with economic competition and technological rivalry becoming increasingly salient. Additionally, the concept of financial hegemony, particularly the role of the U.S. dollar, emerges as a significant driver of U.S. policy. This study offers insights into the strategic motivations behind U.S. actions and the complex interplay of various factors in Sino-American relations.
Authors
- Chengyuan Tang
Institutions
- University of Leeds (GB)
Publication Details
- Journal
- Applied and Computational Engineering
- Published
- 2024-11-08
- DOI
- https://doi.org/10.54254/2755-2721/93/20240934
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00