Using text mining to analyze the financial patents

Yung Feng Lu, Jia Lang Xu, Mu Yen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450361903
DOIs
Publication statusPublished - 2019 Jun 26
Event9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019 - Seoul, Korea, Republic of
Duration: 2019 Jun 262019 Jun 28

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Web Intelligence, Mining and Semantics, WIMS 2019
CountryKorea, Republic of
CitySeoul
Period19-06-2619-06-28

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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