DocumentCode
1629237
Title
Textual information and correspondence analysis in curriculum analysis
Author
Ida, Masaaki
Author_Institution
Nat. Instn. for Acad. Degrees, Univ. Evaluation, Kodaira, Japan
fYear
2009
Firstpage
666
Lastpage
669
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location
Jeju Island
ISSN
1098-7584
Print_ISBN
978-1-4244-3596-8
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2009.5277328
Filename
5277328
Link To Document