【摘要】 随着移动终端的普及，越来越多的学龄前儿童开始使用早期教育App进行学习，早期教育App已成为学龄前儿童重要的学习资源，这就必然要提高早期教育App的质量，了解用户需求。在线评论真实反映了用户对产品的满意度，通过对评论进行分析，能够了解用户对早教App的态度，为以后的改进提供建议。采用社会网络分析、LDA(Latent Dirichlet Allocation)主题聚类分析和情感分析技术对我国早期教育App用户评论文本进行研究，探讨其发展现状和存在问题，并提出改进建议。研究发现，我国早期教育App能够基本满足用户学习需求，但存在学科分布不合理和性能、内容设计不足等问题，影响用户正常使用。更多还原

【Abstract】 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.更多还原