Predicting Popularity of Korean Contents in Arab Countries Using a Data Mining Technique

Park Young Eun1, Soumaya Chaffar1, Kim Myoung Sook2 and Ko Hye Young2, 1Prince Sultan University, Saudi Arabia and 2Seoul Women's University, South Korea; Park Young Eun1, Soumaya Chaffar1, Kim Myoung Sook2 and Ko Hye Young2, 1Prince Sultan University, Saudi Arabia and 2Seoul Women's University, South Korea

Predicting Popularity of Korean Contents in Arab Countries Using a Data Mining Technique

Authors

Park Young Eun¹, Soumaya Chaffar¹, Kim Myoung Sook² and Ko Hye Young², ¹Prince Sultan University, Saudi Arabia and ²Seoul Women's University, South Korea

Abstract

Recently, many people in the Middle East and North Africa enjoy watching a variety of Korean contents such as Korean dramas, films, broadcasting programs and listening to Korean Pops. The Korean wave refers to the phenomenon of Korean entertainment and popular culture rolling over the world with TV dramas, films and pop music. Also it is known as "Hallyu " literally meaning 'flow from Korea' in Korean. This study examines the analysis of pattern on Arab countries (Middle East and North Africa) Consumers' consumption of the Korean Contents using social media, Facebook data. Then we focus on developing Predictive System using a Data Mining Technique.

Keywords

Korean Wave (Hallyu in Korean), Social Media, Data Mining, Predictive Analysis

CS&IT Conference Proceedings

Predicting Popularity of Korean Contents in Arab Countries Using a Data Mining Technique