Design and Implementation of Key Word Extraction System Based on Pre-Training Model and Artificial Intelligence Algorithm
With the rapid development of artificial intelligence technology in China, all walks of life have gradually integrated their advanced intelligent algorithm into it, and strive to improve the comprehensive operation efficiency. Based on the advanced technical characteristics of the pre-training model and the artificial intelligence algorithm, this study constructs the keyword extraction system model, in order to effectively improve the extraction efficiency and classification accuracy of keywords in the data resources. Combined with the empirical research and analysis, the design and implementation of the keyword extraction system based on the pre-training model and artificial intelligence algorithm effectively improves the accuracy of the keyword extraction, the error rate is further reduced, and the comprehensive operation stability of the system is significantly enhanced. Therefore, there is a positive relationship between the pre-training model, the application of the artificial intelligence algorithm and the design of the keyword extraction system. Based on the technical application of the pre-training model and the artificial intelligence algorithm, it is helpful to promote the operation efficiency and development quality of the keyword extraction system.
Authors
- Kaitai Peng
- Junhong Chen (ORCID: https://orcid.org/0000-0002-9143-1222)
Institutions
- University of Malaya (MY)
- South China University of Technology (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/acai63924.2024.10899688
- Primary Topic
- Educational Reforms and Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00