Title :
Textual information and correspondence analysis in curriculum analysis
Author_Institution :
Nat. Instn. for Acad. Degrees, Univ. Evaluation, Kodaira, Japan
Abstract :
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.
Keywords :
academic libraries; classification; computer aided instruction; data mining; text analysis; correspondence analysis; higher education curriculum analysis; knowledge discovery; library classification; text mining; textual information classification; Communications technology; Data analysis; Dictionaries; Educational institutions; Educational programs; Information analysis; Libraries; Text mining; Visual databases; Visualization; correspondence analysis; curriculum analysis; library classification; text mining;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277328
