Design of English Education Grading Platform Based on Neural Network and Natural Language Processing

Abstract

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.