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A Study of User Minds for Mobile Payment using Text Mining

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A Study of User Minds for Mobile Payment using Text Mining. / Kino, Yasunobu; Tan, Caroline S.L.; Zhu, Yi.
In: Procedia Computer Science, Vol. 225, 31.12.2023, p. 1928-1936.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Kino, Y, Tan, CSL & Zhu, Y 2023, 'A Study of User Minds for Mobile Payment using Text Mining', Procedia Computer Science, vol. 225, pp. 1928-1936. https://doi.org/10.1016/j.procs.2023.10.183

APA

Kino, Y., Tan, C. S. L., & Zhu, Y. (2023). A Study of User Minds for Mobile Payment using Text Mining. Procedia Computer Science, 225, 1928-1936. https://doi.org/10.1016/j.procs.2023.10.183

Vancouver

Kino Y, Tan CSL, Zhu Y. A Study of User Minds for Mobile Payment using Text Mining. Procedia Computer Science. 2023 Dec 31;225:1928-1936. Epub 2023 Dec 8. doi: 10.1016/j.procs.2023.10.183

Author

Kino, Yasunobu ; Tan, Caroline S.L. ; Zhu, Yi. / A Study of User Minds for Mobile Payment using Text Mining. In: Procedia Computer Science. 2023 ; Vol. 225. pp. 1928-1936.

Bibtex

@article{890eeb9e642e435f8e410268ec22b221,
title = "A Study of User Minds for Mobile Payment using Text Mining",
abstract = "Recently, the usage of mobile payments in Japan has increased. Some users have expressed positive views about this technology, while others hold negative views. This study aimed to examine the attitudes of both users and non-users toward mobile payments by applying text mining on Japanese comments posted on Twitter. The data were collected twice in February 2023. Through the analysis, the study identified keywords related to positive, negative, and risk-related sentiments to gain insight into the expressed opinions. The findings revealed that positive statements highlighted the convenience of mobile payments, ease of ordering, and the value offered through loyalty points. Negative themes encompassed issues like settlement problems and wireless connection troubles. Regarding risks, there were statements such as personal data leaks and various security issues. Furthermore, a comparison between mobile payments and credit cards indicated that mobile payments received fewer risk-related statements and more positive statements compared to credit cards.",
keywords = "Cashless payment, Text Analysis, Customer Experience",
author = "Yasunobu Kino and Tan, {Caroline S.L.} and Yi Zhu",
year = "2023",
month = dec,
day = "31",
doi = "10.1016/j.procs.2023.10.183",
language = "English",
volume = "225",
pages = "1928--1936",
journal = "Procedia Computer Science",
issn = "1877-0509",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - A Study of User Minds for Mobile Payment using Text Mining

AU - Kino, Yasunobu

AU - Tan, Caroline S.L.

AU - Zhu, Yi

PY - 2023/12/31

Y1 - 2023/12/31

N2 - Recently, the usage of mobile payments in Japan has increased. Some users have expressed positive views about this technology, while others hold negative views. This study aimed to examine the attitudes of both users and non-users toward mobile payments by applying text mining on Japanese comments posted on Twitter. The data were collected twice in February 2023. Through the analysis, the study identified keywords related to positive, negative, and risk-related sentiments to gain insight into the expressed opinions. The findings revealed that positive statements highlighted the convenience of mobile payments, ease of ordering, and the value offered through loyalty points. Negative themes encompassed issues like settlement problems and wireless connection troubles. Regarding risks, there were statements such as personal data leaks and various security issues. Furthermore, a comparison between mobile payments and credit cards indicated that mobile payments received fewer risk-related statements and more positive statements compared to credit cards.

AB - Recently, the usage of mobile payments in Japan has increased. Some users have expressed positive views about this technology, while others hold negative views. This study aimed to examine the attitudes of both users and non-users toward mobile payments by applying text mining on Japanese comments posted on Twitter. The data were collected twice in February 2023. Through the analysis, the study identified keywords related to positive, negative, and risk-related sentiments to gain insight into the expressed opinions. The findings revealed that positive statements highlighted the convenience of mobile payments, ease of ordering, and the value offered through loyalty points. Negative themes encompassed issues like settlement problems and wireless connection troubles. Regarding risks, there were statements such as personal data leaks and various security issues. Furthermore, a comparison between mobile payments and credit cards indicated that mobile payments received fewer risk-related statements and more positive statements compared to credit cards.

KW - Cashless payment

KW - Text Analysis

KW - Customer Experience

U2 - 10.1016/j.procs.2023.10.183

DO - 10.1016/j.procs.2023.10.183

M3 - Journal article

VL - 225

SP - 1928

EP - 1936

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

ER -