Research on the method of educational text classification based on deep learning.

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Author: Yuqin Wang
Date: June 28, 2022
Publisher: Inderscience Publishers Ltd.
Document Type: Brief article
Length: 154 words

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Abstract :

To improve the efficiency of traditional text classification methods of education and the recall rate of research objectives, we propose an educational text classification method based on the depth of learning. The English web pages covering the economics, politics, sports, entertainment, and life, etc., which involve carriers containing explanatory texts and discussion papers, etc., will be used as the source of English educational texts for corresponding collection and processing. We upload the collected texts, introduce deep learning algorithms, perform preprocessing and feature learning, and input the learning features into the deep learning Softmax classifier based on the learning results. The output of the classifier consists of the classification results of the educational texts. Experiment results show that the proposed method of classification gives good accuracy and high recall rate, and the average distribution time is only 3.992 s. Hence, the proposed method can effectively improve the classification efficiency of educational texts. Byline: Yuqin Wang

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Gale Document Number: GALE|A709927473