https://scholars.lib.ntu.edu.tw/handle/123456789/581355
Title: | FinTech Applications | Authors: | Chen C.-C Huang H.-H HSIN-HSI CHEN |
Keywords: | Data mining; Economics; Sentiment analysis; Financial applications; Financial service; Financial stability; Investment management; Opinion mining; Fintech | Issue Date: | 2021 | Start page/Pages: | 73-87 | Source: | SpringerBriefs in Computer Science | Abstract: | The Financial Stability Board defines financial technology (FinTech) as “technology-enabled innovation in financial services.” At the 2015 World Economic Forum, experts proposed a taxonomy for financial services that can be classified into six major categories: payments, deposits and lending, market provisioning, capital raising, insurance, and investment management. Because financial opinion mining can be applied to many listed services, we survey various cases in this chapter and show that financial opinion mining is useful and crucial in many financial application scenarios. ? 2021, The Author(s). |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106434706&doi=10.1007%2f978-981-16-2881-8_6&partnerID=40&md5=31abc9d33cc8358b7089d3dd32f67668 https://scholars.lib.ntu.edu.tw/handle/123456789/581355 |
ISSN: | 21915768 | DOI: | 10.1007/978-981-16-2881-8_6 |
Appears in Collections: | 資訊工程學系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.