Working holiday in Australia: A social-data based study on the correlation between participants’ perception and participation change
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bang, Jun Il | - |
dc.contributor.author | Lee, Deok Joo | - |
dc.contributor.author | Sultana, Abida | - |
dc.contributor.author | Cha, Kyung Jin | - |
dc.contributor.author | Kim, Hwa Jong | - |
dc.date.accessioned | 2021-08-02T12:51:21Z | - |
dc.date.available | 2021-08-02T12:51:21Z | - |
dc.date.created | 2021-05-14 | - |
dc.date.issued | 2018-11 | - |
dc.identifier.issn | 1992-8645 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/15909 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Little Lion Scientific | - |
dc.title | Working holiday in Australia: A social-data based study on the correlation between participants’ perception and participation change | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cha, Kyung Jin | - |
dc.identifier.scopusid | 2-s2.0-85057583551 | - |
dc.identifier.bibliographicCitation | Journal of Theoretical and Applied Information Technology, v.96, no.22, pp.7424 - 7434 | - |
dc.relation.isPartOf | Journal of Theoretical and Applied Information Technology | - |
dc.citation.title | Journal of Theoretical and Applied Information Technology | - |
dc.citation.volume | 96 | - |
dc.citation.number | 22 | - |
dc.citation.startPage | 7424 | - |
dc.citation.endPage | 7434 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Australia | - |
dc.subject.keywordAuthor | Big data | - |
dc.subject.keywordAuthor | Perception | - |
dc.subject.keywordAuthor | Sentiment analysis | - |
dc.subject.keywordAuthor | Working holiday | - |
dc.identifier.url | http://www.jatit.org/volumes/Vol96No22/10Vol96No22.pdf | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.