A Method for Classifying Information in Education Policy Texts Based on an Improved Attention Mechanism Model. (9th May 2022)

• Record Type: Journal Article
• Authors: Rao, Yutai; Yang, Fan
• Other Names: Qu Zhiguo Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2022(2022)
• Publication Date: 2022-05-09
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2022/5467572
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : Text classification techniques in natural language processing can automatically classify text data in a more efficient way, saving human resources and costs. Therefore, text classification techniques can be applied to the automatic classification of education policy data to quickly locate and accurately find education policy data, thus realising the information management and visual analysis of education policy data. This paper proposes a text classification algorithm based on the attention mechanism of headline and body text according to the characteristics of education policy and introduces this algorithm in detail through a model diagram. The experimental comparison with existing classification algorithms verifies the superiority of the algorithm in the classification method of education policy text classification information.