Research on the Promotion of National Common Language and Writing from the Perspective of Big Data
Through an in-depth study of the current situation of national common language and writing promo-tion between 2021 and 2024,we focus on evaluating the actual effects of multiple promotion channels and propose targeted optimization strategies accordingly.Crawler technology was used to collect relevant news from the People's Daily Online,and the text data were analyzed in depth using the Latent Dirichlet Allocation(LDA)theme model in order to accurately identify the core themes of national common language and writing promotion and to explore their actual effects.The results show that rural community activities accounted for 41.7%of putonghua promotion,in addi-tion,school and family education accounted for 21.0%,national traditional culture accounted for 19.1%,and nation-al social development accounted for 18.2%.Given the remarkable effectiveness of rural communities in language and writing promotion,the State should continue to maintain this advantage.At the same time,promotion efforts at the national social development level need to be increased to make up for the existing shortcomings.In addition,it is necessary to optimize the content of education at school and at home,enhance family support,and strengthen the language environment,in order to achieve a balanced promotion effort and enhance the overall effect of promotion of national common language and writing.
big datanational common language and writingpromotion
万方数据
维普
