Application of English education information management system based on convolution neural network classification algorithm

Abstract

In order to improve the convenience of English education management and improve the quality of teaching, this paper proposes the application of English education information management system based on convolution neural network classification algorithm. Specifically, it relies on spark cloud technology and data mining technology of cash to build an English education information management system. Secondly, in the educational information management platform, convolution neural network classification algorithm is used to mine useful information. Convolution network mainly combines the emotional words, parts of speech, degree adverbs, negatives, punctuation and other word features that affect the emotional tendency of the text to form an extended text feature. Then, the word vector feature and the extended text feature are used as two input channels of convolution neural network, and the dynamic K-max pooling strategy is adopted to improve the ability of feature extraction of the model. The experiment in the English education information management system shows that the classification performance of the algorithm in this paper is not only higher than that of the single channel convolution neural network algorithm, but also has some advantages compared with some representative algorithms. In addition, experiments verify the effectiveness of the educational information management system.