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

【Author】 Liu, Yunmei; Zhang, Shuai; Chen, Min; Wu, Yenchun; Chen, Zhengxian

【Source】SUSTAINABILITY

【影响因子】3.889

【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.

【Keywords】blockchain technology; financial sector; topic detection; artificial intelligence; bionic algorithm

【发表时间】2021 JUL

【收录时间】2022-01-02

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