@article{ART002146818},
author={Jungkook An and LEE SO HYUN and 안은희 and Hee-Woong KIM},
title={Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques},
journal={Informatization Policy},
issn={1598-3498},
year={2016},
volume={23},
number={3},
pages={26-42},
doi={10.22693/NIAIP.2016.23.3.026}
TY - JOUR
AU - Jungkook An
AU - LEE SO HYUN
AU - 안은희
AU - Hee-Woong KIM
TI - Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques
JO - Informatization Policy
PY - 2016
VL - 23
IS - 3
PB - NIA
SP - 26
EP - 42
SN - 1598-3498
AB - Recently, with the rapid growth of the O2O market, Fintech combining the finance and ICT technology is drawing attention as innovation to lead “O2O of finance”, along with Fintech-based payment, authentication, security technology and related services. For new technology industries such as Fintech, technical sources, related systems and regulations are important but previous studies on Fintech lack in-depth research about systems and technological trends of the domestic Fintech industry. Therefore, this study aims to analyze domestic Fintech trends and find the insights for the direction of technology and systems of the future domestic Fintech industry by comparing Kakao Pay and Samsung Pay, the two domestic representative mobile payment services. By conducting a complete enumeration survey about the tweets mentioning Fintech until June 2016, this study visualized topics extraction, sensitivity analysis and keyword analyses. According to the analysis results, it was found that various topics have been created in the technologies and systems between 2014 and 2016 and different keywords and reactions were extracted between topics of Samsung Pay based on “devices” such as Galaxy and Kakao Pay based on “service” such as KakaoTalk. This study contributes to analyzing the unstructured data of social media by period by using social media mining and quantifying the expectations and reactions of consumers to services through the sentiment analysis. It is expected to be the foundation of Fintech industry development by presenting a strategic direction to Fintech related practitioners.
KW - fintech;social media;text mining;topic modeling;sentiment analysis;keyword analysis
DO - 10.22693/NIAIP.2016.23.3.026
ER -
Jungkook An, LEE SO HYUN, 안은희 and Hee-Woong KIM. (2016). Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques. Informatization Policy, 23(3), 26-42.
Jungkook An, LEE SO HYUN, 안은희 and Hee-Woong KIM. 2016, "Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques", Informatization Policy, vol.23, no.3 pp.26-42. Available from: doi:10.22693/NIAIP.2016.23.3.026
Jungkook An, LEE SO HYUN, 안은희, Hee-Woong KIM "Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques" Informatization Policy 23.3 pp.26-42 (2016) : 26.
Jungkook An, LEE SO HYUN, 안은희, Hee-Woong KIM. Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques. 2016; 23(3), 26-42. Available from: doi:10.22693/NIAIP.2016.23.3.026
Jungkook An, LEE SO HYUN, 안은희 and Hee-Woong KIM. "Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques" Informatization Policy 23, no.3 (2016) : 26-42.doi: 10.22693/NIAIP.2016.23.3.026
Jungkook An; LEE SO HYUN; 안은희; Hee-Woong KIM. Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques. Informatization Policy, 23(3), 26-42. doi: 10.22693/NIAIP.2016.23.3.026
Jungkook An; LEE SO HYUN; 안은희; Hee-Woong KIM. Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques. Informatization Policy. 2016; 23(3) 26-42. doi: 10.22693/NIAIP.2016.23.3.026
Jungkook An, LEE SO HYUN, 안은희, Hee-Woong KIM. Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques. 2016; 23(3), 26-42. Available from: doi:10.22693/NIAIP.2016.23.3.026
Jungkook An, LEE SO HYUN, 안은희 and Hee-Woong KIM. "Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques" Informatization Policy 23, no.3 (2016) : 26-42.doi: 10.22693/NIAIP.2016.23.3.026