Abstract—The purpose of this paper is to study a big data–based decision making support system for Korean software education to analyze the performance of software education that has been carried out and to derive efficient software education model focusing on opinion mining visualization analysis technique based on big data collection data such as portal site news, SNS service, Internet cafe, other performance data related to software education collected from online media over the last 5 years.
Index Terms—Big data, opinion mining, software education, decision making support system.
Jihoon Seo and Kilhong Joo are with the Department of Computer Education, Gyeongin National University of Education, Korea (Corresponding author: Kilhong Joo; e-mail: firstname.lastname@example.org).
Cite: Jihoon Seo and Kilhong Joo, "Study on Big Data Based Decision Making Support System for Development of Software Education Model," International Journal of Machine Learning and Computing vol. 9, no. 5, pp. 650-655, 2019.Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).