Discovering Novel Methods of Improving Middle Management Training through Text Mining
Kyoko Hayashi, Kazuhiko Tsuda · Procedia Computer Science · 2022
As people enter the 100-year life period, they are working for longer periods of time, and acquiring new skills to stay up-to-date is becoming increasingly important. Moreover, educational institutions for working adults are conducting course satisfaction surveys to improve their educational programs; however, extracting useful information from the comments of several students each year is not easy. Therefore, in this study, a method was analysed to efficiently extract the targets of overall dissatisfaction and demands by conducting reputation and demand analyses using text mining based on the comments of a small group. As a result, we found knowledge that certain words can be used in a tool to efficiently extract relevant information.