A Study on Intelligent Education Products Reviews Based on Text Mining

This study explores the role and impact of intelligent education products in the educational field. The research processes and categorizes review data to extract key insights and emerging trends using text mining techniques, including sentiment analysis, review classification, and Latent Dirichlet Allocation (LDA) topic modeling. Sentiment analysis reveals that users generally exhibit positive emotional attitudes toward the product. The LDA analysis revealed three findings: the role of learning devices in enhancing children's education, the impact of parental engagement on academic achievement, and the integration of AI technology in skill development and assessment optimization. The findings highlight that intelligent education products significantly enhance student engagement and play an important role in modern education. Furthermore, this study offers practical applications for optimizing device functionality and educational content and contributes to the advancement of intelligent education.