Paper
1 June 2023 Neural network structure text processing method based on automatic machine learning
Bowen Jing
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252A (2023) https://doi.org/10.1117/12.2670485
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
In the social economy and technological innovation and development, the information process in all fields is getting faster and faster, the management system with different functions, has been cited to People's Daily life and work, which also makes the industry development has accumulated rich data resources. How to obtain valuable information in mass text data is the main problem discussed by Chinese scientific researchers. On the basis of understanding the status quo of structured text processing, this paper proposes a neural network structured text processing method based on automatic machine learning and neural network algorithm. At the same time, taking the structured processing of medical text data as an example, the application advantages of this method are discussed.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bowen Jing "Neural network structure text processing method based on automatic machine learning", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252A (1 June 2023); https://doi.org/10.1117/12.2670485
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Machine learning

Image processing

Feature extraction

Neural networks

Evolutionary algorithms

Artificial neural networks

Education and training

Back to Top