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 Author:	Chen, Chung-Chi (auth)
Other Authors:	Huang, Hen-Hsen (auth), Chen, Hsin-Hsi (auth)
Format:	Electronic Book Chapter
Language:	English
Published:	Springer Nature 2021
Series:	SpringerBriefs in Computer Science
Subjects:	Natural language & machine translation Data mining Algorithms & data structures Artificial intelligence Information technology: general issues 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 Expert systems / knowledge-based systems Information theory
Online Access:	DOAB: download the publication DOAB: description of the publication
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From Opinion Mining to Financial Argument Mining

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