텍스트 마이닝을 활용한 AI 디지털교과서 키워드 분석

Analysis of AI Digital Textbook Keywords Using Text Mining

This study aims to explore the potential issues and challenges associated with the development, introduction, utilization, and stabilization of AI digital textbook, as well as to identify tasks necessary to address these challenges. We collected and analyzed data from domestic news articles and previous research literature related to “AI digital textbook” to derive key keywords using a comprehensive text analysis approach with Bigkinds and Textom. Through Bigkinds, we conducted keyword trend analysis, associated word analysis, and relationship analysis. Using Textom, we performed keyword frequency analysis, N-gram analysis, TF-IDF(Term Frequency-Inverse Document Frequency) analysis, and network analysis. This approach allowed us to identify the main issues related to the development, implementation, utilization of AI digital textbook and explore the necessary tasks to address these challenges.