英文摘要 |
This program used BERT deep-learning, LDA, and SNA analysis to explore Twitter communication strategies of China diplomats for classified topics modeling. The results indicated that “wolf warrior” diplomacy does not support the primary content strategy. The China government used wolf warrior diplomacy within some specific entities, including international affairs related to the United States, human rights issues, sovereignty, Cov19 virus control, and Xinjiang-related affairs. Regarding theoretical implications, this study provided two primary findings. First, the research showed that communication strategies on social media such as Twitter were attributed to the main themes of the central China government. Further, the United States’ diplomacy attitudes were a critical factor in influencing the use of wolf warrior diplomacy. This program also demonstrated the availability of using the BERT deep learning approach to address text mining research. |