The multi-dimensional characteristics of public opinion in online education lead to the difficulty of data cross-dimensional mining. To solve this problem, this paper designs a cross-dimensional data mining model of public opinion in online education based on fuzzy association rules. Based on the public opinion subject, object, and ontology to analyze the characteristics of public opinion in online education, Yaahp software is used to calculate the influence factor weight of public opinion in online education. According to the weight analysis results, the relationship between the dimensions of various public opinion data is clarified by using data semantic association. This paper introduces the fuzzy set theory into the database and uses crawlers to obtain public opinion data and stores them in the database, to complete the data preprocessing through distributed text preprocessing, feature selection distributed computing, and text vectorization distributed computing. Taking the cloud computing platform as the core, the cross-dimension mining model of public opinion in online education data is constructed according to the dimension correlation analysis and preprocessing results. The simulation results show that the model has the advantages of wide range, fast speed, and high accuracy, and can provide data support for education reform.

网络教育中舆论的多维特征导致数据跨维度挖掘的困难。针对这一问题，本文设计了一种基于模糊关联规则的网络教育舆情数据挖掘模型。基于公众舆论的主题，客体和本体，分析网络教育舆情的特点，使用Yaahp软件计算网络舆情的影响因素权重。根据权重分析结果，利用数据语义关联来阐明各种民意数据维度之间的关系。本文将模糊集理论引入数据库，并使用爬虫获取民意数据并将其存储在数据库中，通过分布式文本预处理，特征选择分布式计算和文本向量化分布式计算来完成数据预处理。以云计算平台为核心，根据维度相关性分析和预处理结果，构建了在线教育数据舆情的多维挖掘模型。仿真结果表明，该模型具有范围广，速度快，精度高等优点，可以为教育改革提供数据支持。根据维度相关性分析和预处理结果，构建了在线教育数据舆论的多维挖掘模型。仿真结果表明，该模型具有范围广，速度快，精度高等优点，可以为教育改革提供数据支持。根据维度相关性分析和预处理结果，构建了在线教育数据舆论的多维挖掘模型。仿真结果表明，该模型具有范围广，速度快，精度高等优点，可以为教育改革提供数据支持。