Working holiday in Australia: A social-data based study on the correlation between participants’ perception and participation change
- Authors
- Bang, Jun Il; Lee, Deok Joo; Sultana, Abida; Cha, Kyung Jin; Kim, Hwa Jong
- Issue Date
- Nov-2018
- Publisher
- Little Lion Scientific
- Keywords
- Australia; Big data; Perception; Sentiment analysis; Working holiday
- Citation
- Journal of Theoretical and Applied Information Technology, v.96, no.22, pp.7424 - 7434
- Indexed
- SCOPUS
- Journal Title
- Journal of Theoretical and Applied Information Technology
- Volume
- 96
- Number
- 22
- Start Page
- 7424
- End Page
- 7434
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/15909
- ISSN
- 1992-8645
- Abstract
- 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.
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