基于自然语言处理技术的移动应用开发课程思政素材自动筛选研究  

Research on Automatic Screening of Ideological and Political Materials of Mobile Application Development Curriculum Based on Natural Language Processing Technology

作　　者：黄梅佳 李宗辉[1] 陈锐彬[1] HUANG Meijia;LI Zonghui;CHEN Ruibin(Department of Infomation Engineering,Jieyang Polytechnic,Jieyang Guangdong 522000,China)

机构地区：[1]揭阳职业技术学院信息工程系,广东揭阳522000

出　　处：《长江信息通信》2024年第10期76-79,共4页Changjiang Information & Communications

基　　金：揭阳职业技术学院高职教育质量工程项目(No.zlgc20210412)。

摘　　要：针对移动应用开发课程中思政素材的自动筛选问题,提出了一种自动化筛选机制,通过构建思政元素和移动应用开发专业相关关键词库,并结合TF-IDF与BERT模型进行素材综合评分,用于识别与移动应用开发课程内容紧密相关的思政新闻素材。研究结果表明,该方法能够有效地从大量新闻数据中筛选出具有高相关性和思政教育价值的素材,对于提升课程思政教育的实效性和丰富教学资源具有重要意义。Aiming at the automatic scrcening of ideological and political materials in the course of mobile application development,an automatic screening mechanism was proposed.By constructing a database of ideological and political clements and keywords related to the major of mobile application development,combined with TF-IDF and BERT model,the material was comprehensively scored to identify ideological and political news materials closely related to the content of mobile application development courses.The research results show that this method can effectively select materials with high relevance and ideological and political education value from a large number of news data,which is of great significance for improving the effectiveness of curriculum ideological and political education and enriching teaching resources.

关 键 词：自然语言处理 思政素材 TF-IDF BERT 相似度计算 移动应用开发课程 自动筛选 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]