Development Status and Countermeasures of China's Early Education Apps Based on User Review Text Mining
With the popularization of mobile terminals,more and more preschool children start to use early education App for learning,and early education App has become an important learning resource for preschool children,which inevitably improves the quality of early education App and understands the needs of users.Online reviews truly reflect users'satisfaction with the product,and by analyzing the reviews,users'attitudes towards early education Apps can be understood and suggestions are provided for future improvement.In this study,social network analysis,LDA thematic clustering analysis and sentiment analysis techniques were used to study the text of user reviews of China's early education App,to explore the current status of its development and problems,and to put forward suggestions for improvement.It is found that China's early education App can basically meet users'learning needs,but there are problems such as unreasonable distribution of subjects and insufficient performance and content design,which affect users'normal use.
early learning Appuser reviewsthematic clusteringsentiment analysissocial network analysis
万方数据
维普
