Textual information and correspondence analysis in curriculum analysis

Correspondence analysis has been used in text mining to deepen global understanding on the characteristics of categorized accumulated textual information, and may lead to new knowledge discovery. However, difficulty in category classification for textual information remains. This article presents a new analysis method for higher education curriculum textual information utilizing corresponding analysis with a library classification.