Big Data Based Security Assessment Method and System of Foreign Investment
Foreign investment assists the national economic development. This paper designs a big data based foreign investment security assessment method and system. The designed method and system employ artificial intelligence, text analysis, and massive database information, to analyze and judge the investment source, investment direction, and investment region. The proposed method achieves comprehensive security assessment of enterprises. Furthermore, the proposed foreign investment security assessment method and system can assist relevant institutions to fully promote foreign investment, attract and utilize foreign capital with greater intensity, optimize regional investment structure, and enhance a high level of opening up to the outside world.
Authors
- Kun Chao (ORCID: https://orcid.org/0000-0002-0755-1441)
- Xinzhou Cheng (ORCID: https://orcid.org/0009-0008-5005-9736)
- Tianyi Wang (ORCID: https://orcid.org/0000-0001-8066-6408)
- Lexi Xu (ORCID: https://orcid.org/0000-0003-4338-7252)
- Lijuan Cao (ORCID: https://orcid.org/0000-0002-1755-1541)
- Heng Zhang (ORCID: https://orcid.org/0000-0003-1624-8927)
- Cheng Chen (ORCID: https://orcid.org/0000-0003-0255-8182)
- Junsheng Zhao
- Xueqing Zhao (ORCID: https://orcid.org/0000-0003-3515-6008)
- Bing Yan (ORCID: https://orcid.org/0000-0001-5383-8147)
Institutions
- China United Network Communications Group (China) (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/iucc65928.2024.00053
- Primary Topic
- Technology and Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00