Design of English Education Grading Platform Based on Neural Network and Natural Language Processing
- Resource Type
- Conference
- Authors
- Chen, Xixi
- Source
- 2022 International Conference on Electronics and Renewable Systems (ICEARS) Electronics and Renewable Systems (ICEARS), 2022 International Conference on. :1823-1826 Mar, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Deep learning
Renewable energy sources
Education
Neural networks
Focusing
Real-time systems
Internet
English Education Score
Neural Networks
Natural Language Processing
Evaluation Standard
- Language
In view of the low accuracy of the current English teaching quality evaluation, a teaching quality evaluation method based on neural network and natural language processing is proposed. First, principal component analysis is used to select the teaching quality evaluation indicators, and then the RBF neural network teaching is designed. The evaluation model is used to optimize the initial weights of the RBF neural network. The experimental results show that the method can effectively evaluate the quality of English teaching, and the accuracy and real-time performance are high.