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
黄梅佳 1李宗辉 1陈锐彬1
作者信息
- 1. 揭阳职业技术学院 信息工程系,广东 揭阳 522000
- 折叠
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.
Abstract
Aiming at the automatic screening of ideological and political materials in the course of mobile application development,an automatic screening mechanism was proposed.By construc-ting a database of ideological and political elements and keywords related to the major of mobile application development,combined with TF-IDF and BERT model,the material was compre-hensively 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 effec-tively 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 cur-riculum 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Key words
natural language processing/ideological and political materials/TF-IDF/BERT/simi-larity calculation/mobile application development course/automatic screening引用本文复制引用
出版年
2024
NETL
NSTL
万方数据