文章基本信息

标题：Predicting Popularity of Korean Contents in Arab Countries Using a Data Mining Technique
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作者：Park Young Eun ; Soumaya Chaffar ; Kim Myoung Sook andKo Hye Young 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2017
卷号：7
期号：2
页码：59-68
DOI：10.5121/csit.2017.70206
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Recently, many people in the Middle East and North Africa enjoy watching a variety of Koreancontents such as Korean dramas, films, broadcasting programs and listening to Korean Pops.The Korean wave refers to the phenomenon of Korean entertainment and popular culturerolling 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 onArab countries (Middle East and North Africa) Consumers' consumption of the KoreanContents using social media, Facebook data. Then we focus on developing Predictive Systemusing a Data Mining Technique.
关键词：Korean Wave (Hallyu in Korean); Social Media; Data Mining; Predictive Analysis