Topic modeling and evolutionary trends of China’s language policy: A LDA-ARIMA approach
This study extracts 1,420 policy texts from official websites and outlines the following findings: (1) Language policies focus on maintaining a harmonious linguistic environment, addressing educational inequality, and protecting language resources. (2) Since 2014, most topics have exhibited fluctuating yet sustained growth trend, particularly in language education and research. (3) Except for language resources, the predicted values of the remaining six topics will show a growing trend from 2024 to 2028. Based on these findings, we propose policy recommendations such as strengthening language research, developing a multilingual education system, and optimizing language resource management.
Authors
- Tianxin Li (ORCID: https://orcid.org/0000-0002-5018-6099)
- X. Ke
- Hui Shi (ORCID: https://orcid.org/0009-0005-1264-0317)
Institutions
- Nanjing Normal University (CN)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1371/journal.pone.0324644
- Citations
- 2
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 10.68
Funders
- Social Science Foundation of Shaanxi Province