首页    期刊浏览 2024年07月09日 星期二
登录注册

文章基本信息

  • 标题:WORKING HOLIDAY IN AUSTRALIA: A SOCIAL-DATA BASED STUDY ON THE CORRELATION BETWEEN PARTICIPANTS� PERCEPTION AND PARTICIPATION CHANGE
  • 本地全文:下载
  • 作者:JUN IL BANG ; DEOK JOO LEE ; ABIDA SULTANA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2018
  • 卷号:96
  • 期号:22
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The main purpose of the study is to understand the relationship between people�s perception and participation regarding a future event. The analysis was performed to investigate whether the participation in Australian working holiday program changes due to the change in the perception of the people of Korea. In the research, we utilized time series statistical data and a set of sentiment data collected from a social platform. We used the number of Korean people who entered and exited Australia during the last 10 years and sentiment data from two social blogs, called cafes: 'I Love Australia' and 'Hoggoksung', having registered members of 150,500 and 110,127, respectively. The total numbers of posts were 169,827 and 196,217, respectively. In was found that the change in perception has strong impacts on the number of people participating in the program. We also found that the sentiment data-based prediction is much more effective than the simple numerical data-based prediction.
  • 关键词:Big Data; Working Holiday; perception; Sentiment analysis; Australia
国家哲学社会科学文献中心版权所有