Discovering Novel Methods of Improving Middle Management Training through Text Mining

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 program...

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Bibliographic Details
Published inProcedia computer science Vol. 207; pp. 1490 - 1499
Main Authors Hayashi, Kyoko, Tsuda, Kazuhiko
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2022
Subjects
Demand Expressions
Human Resource Development
Opinion
Satisfaction
Sentiment Analysis
Text Mining
Training Program
Opinion
Demand Expressions
Human Resource Development
Satisfaction
Text Mining
Sentiment Analysis
Training Program
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.09.206