The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining
Yenchun Wu and
Additional contact information
Yunmei Liu: School of Information Management, Wuhan University, Wuhan 430072, China
Shuai Zhang: School of Information Management, Wuhan University, Wuhan 430072, China
Min Chen: Academy of Financial Research, School of Business, Wenzhou University, Wenzhou 325035, China
Yenchun Wu: Graduate Institute of Global Business and Strategy, National Taiwan Normal University, Taipei 106, Taiwan
Zhengxian Chen: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
Sustainability, 2021, vol. 13, issue 14, 1-19
Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.
Keywords: blockchain technology; financial sector; topic detection; artificial intelligence; bionic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:14:p:7585-:d:589867
Access Statistics for this article
Sustainability is currently edited by Ms. Elaine Li
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().