Sensitivity of correspondence analysis and comparative analysis of curricula

Abstract

Correspondence analysis is frequently utilized in text mining. It will deepen the global understanding on the characteristics of accumulated text information and may lead to new knowledge discovery. However, in the case of data fluctuation, result of correspondence analysis might be greatly changed. This article presents a mathematical consideration on sensitivity of correspondence analysis and its application to comparative analysis of curricula of higher education institutions.