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Extraction method of hub text on web review by text mining and network approach

Authors
Hong, J.Park, S.
Issue Date
2018
Publisher
Little Lion Scientific
Keywords
Hub text; Network analysis; Text analysis; Text mining; Web
Citation
Journal of Theoretical and Applied Information Technology, v.96, no.21, pp 7321 - 7329
Pages
9
Indexed
SCOPUS
Journal Title
Journal of Theoretical and Applied Information Technology
Volume
96
Number
21
Start Page
7321
End Page
7329
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/12998
ISSN
1992-8645
1817-3195
Abstract
In this study, we tried to explore the hub text using web review of airline customers. To accomplish this, airline customer’s online review data were collected and text mining and network analysis were applied. The results of this study are as follows. First, we defined the hub text by text mining and network analysis. Second, we explored the characteristics of the hub text. Hub text is a word that is used in conjunction with other text and expresses customer experience. Third, the hub text was related to performance of company. Hub texts were more correlated with customer satisfaction than non-hub texts. In this study, it is meaningful to define the hub text and to characterize the hub text by using the customer's online review data. Also, we can confirm that the company can contribute to the performance through managing the hub text. ? 2005 ? ongoing JATIT & LLS.
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경영대학 (국제통상학과)
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