Research on Automatic Screening of Ideological and Political Materials of Mobile Application Development Curriculum Based on Natural Language Processing Technology
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.
natural language processingideological and political materialsTF-IDFBERTsimi-larity calculationmobile application development courseautomatic screening
NETL
NSTL
万方数据
