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텍스트마이닝을 활용한 핀테크 및 디지털 금융 서비스 트렌드 분석. (Korean)

  • Academic Journal
  • Journal of Digital Convergence; 2022, Vol. 20 Issue 3, p131-143, 13p
  • Focusing on FinTech keywords, this study is analyzing newspaper articles and Twitter data by using text mining methodology in order to understand trends in the industry of domestic digital financial service. In the growth of FinTech lifecycle, the frequency analysis has been performed by four important points: Mobile Payment Service, Internet Primary Bank, Data 3 Act, MyData Businesses. Utilizing frequency analysis, which combines the keywords ‘China’, ‘USA’, and ‘Future’ with the ‘FinTech’, has been predicting the FinTech industry regarding of the current and future position. Next, sentiment analysis was conducted on Twitter to quantify consumers' expectations and concerns about FinTech services. Therefore, this study is able to share meaningful perspective in that it presented strategic directions that the government and companies can use to understanding future FinTech market by combining frequency analysis and sentiment analysis. [ABSTRACT FROM AUTHOR]
Additional Information
Trend Analysis of FinTech and Digital Financial Services using Text Mining. (English)
Copyright of Journal of Digital Convergence is the property of Society of Digital Policy & Management and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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