Using Text Mining to Analyze the Financial Patents

被引:0
|
作者
Lu, Yung-Feng [1 ]
Xu, Jia-Lang [1 ]
Chen, Mu-Yen [2 ]
机构
[1] Natl Taichung Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taichung, Taiwan
[2] Natl Taichung Univ Sci & Technol, Dept Informat Management, Taichung, Taiwan
关键词
FinTech; Patent analysis; Text mining;
D O I
10.1145/3326467.3326478
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the advancement and development of science and technology, Nowadays society is the development of information technology, cloud computing, mobile Internet, Internet of Things, block chain and information technology.The combination of finance and technology has made financial technology terms gradually emerging.. This research analyzes the patents of financial technology. However, Taiwan's financial technology patents are mostly G06Q-20 (payment plan, architecture or agreement), G06Q-30 (commercial, such as marketing, shopping, payment, auction or e-commerce). G06Q-40 (financial, investment or tax treatment, insurance).The research use text mining technology to analyze and understand Taiwan's trends and developments in financial technology. The research results show that G06Q-20 patents are biased towards information security and mobile payment. G06Q-30 patents favor shopping websites and advertising. G06Q-40 patents are biased towards diversity, such as securities, insurance, finance, and stocks.
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页数:7
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