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The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

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  • Yunmei Liu

    (School of Information Management, Wuhan University, Wuhan 430072, China
    Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China)

  • Shuai Zhang

    (School of Information Management, Wuhan University, Wuhan 430072, China
    Center for Studies of Information Resources, 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
    Leisure & Recreation Administration Department, Ming Chuan University, Taipei 111, Taiwan)

  • Zhengxian Chen

    (School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA)

Abstract

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.

Suggested Citation

  • Yunmei Liu & Shuai Zhang & Min Chen & Yenchun Wu & Zhengxian Chen, 2021. "The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7585-:d:589867
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    References listed on IDEAS

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    Cited by:

    1. Budiana Ruslan & Erna Maulina & Rusdin Tahir & Rivani & R. Anang Muftiadi, 2023. "Sustainable Consumer Behavior: Bibliometric Analysis for Future Research Direction in Muslim Fashion Context," Sustainability, MDPI, vol. 15(24), pages 1-22, December.
    2. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.

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