Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

Abstract

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.

Tracking public opinion about online education over COVID-19 in China

“…The peak was seen in March 2020, when the whole country closed schools and institutions switched to online learning completely. This shows that emergency situations influence public concerns about education to a great extent (Li et al, 2021 ), when the public is engaged in a form of education, they were eager to express their thoughts and opinions. This pattern was particularly salient in females (Research Question 3).…”

“…Recent three-factor theory and its extended factor theory identified a range of factors that influenced public opinion on education network. Each factor received a specific weight through the analytic hierarchy process, among which crisis events was assigned the second highest weight right after noumenon of public opinion (Li et al, 2021 ). Previous research on Ebola outbreaks has identified that knowledge and attitudes of students on disease transmission can help inform best practices for public health (Holakouie-Naeieni et al, 2015 ).…”

Review of Survey Research in Fuzzy Approach for Text Mining

“…To improve the effect of fuzzy clustering, Chen et al developed a clustering method based on multi-label classification by combining fuzzy association rules and language model WordNet to represent documents [34]. To reduce the analysis error caused by high-dimensional text features, Li et al using fuzzy theory combined with correlation analysis was applied to the research, through distributed text preprocessing, feature selection distributed computing, text vectorized distributed computing and other methods for data preprocessing, construct a cross-dimensional opinion text mining model [35].…”

Personalized distance-learning experience in determining students’ performance

“…(2) Dynamic hyperlinks to students and association rules can help identify connections between specific knowledge and student interests (Li et al, 2021). (3) By following the classification algorithm, different learning for different participants in the learning process is provided.…”