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From Opinion Mining to Financial Argument Mining

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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 by Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi

Published 2021
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