Research on strategies for enhancing drug knowledge dissemination on Chinese social media WeChat public accounts based on text mining technology
Pharmaceutical professionals may more effectively discover hot themes in the industry by combining the TF-IDF algorithm with VOSviewer visualization analysis and LDA and BERTopic in the text mining. This improves the readability of popularization articles and the impact of WeChat accounts, which may improve medication adherence and raise public awareness of medication usage.
Authors
- Xin Yu (ORCID: https://orcid.org/0000-0002-0269-5649)
- Xue‐Jun Wu (ORCID: https://orcid.org/0000-0002-0470-8415)
- Yan Xia (ORCID: https://orcid.org/0000-0001-6935-6038)
- Xiajiong Luo (ORCID: https://orcid.org/0009-0007-3630-278X)
- Weihao Ma (ORCID: https://orcid.org/0000-0002-7410-8124)
- Yaofeng Zhang (ORCID: https://orcid.org/0000-0002-1058-2425)
- Hongbo Fu (ORCID: https://orcid.org/0000-0002-3001-9795)
- Xiaotong Chen (ORCID: https://orcid.org/0000-0002-9303-3949)
- Yizhi Zhang (ORCID: https://orcid.org/0009-0000-5586-5886)
Institutions
- Shantou University (CN)
- Second Affiliated Hospital of Shantou University Medical College (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-08-26
- DOI
- https://doi.org/10.3389/fphar.2025.1569863
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00