From Opinion Mining to Financial Argument Mining

Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent finan...

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Bibliographic Details
Main Authors:	Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi
Format:	Online
Language:	English
Published:	Springer Nature 2021
Subjects:	Natural Language Processing (NLP) Data Mining and Knowledge Discovery Data Structures and Information Theory Artificial Intelligence Computer Applications Data Science Computer and Information Systems Applications Open Access financial opinion mining text mining in finance financial technology application FinTech argument mining in finance opinion quality evaluation numeral understanding Natural language & machine translation Data mining Expert systems / knowledge-based systems Algorithms & data structures Information theory Information technology: general issues thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
Online Access:	ONIX_20210614_9789811628818_32
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From Opinion Mining to Financial Argument Mining

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