From opinion mining to financial argument mining / Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen.
Chen, Chung-Chi, author.; Huang, Hen-Hsen, author.; Chen, Xinxi, author.
2021
QA76.9.D343 C44 2021
Available Online

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Title From opinion mining to financial argument mining / Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen.
Author Chen, Chung-Chi, author.
ISBN 9789811628818 (electronic book)
9811628815 (electronic book)
9789811628825 (print)
9811628823
9789811628801 (paperback)
9811628807
DOI https://doi.org/10.1007/978-981-16-2881-8
Published Singapore : Springer, [2021]
Language English
Description 1 online resource (x, 95 pages) : illustrations (chiefly color)
Item Number 10.1007/978-981-16-2881-8 doi
Call Number QA76.9.D343 C44 2021
Dewey Decimal Classification 006.3/12
Summary 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 financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from digital title page (viewed on June 14, 2021).
Added Author Huang, Hen-Hsen, author.
Chen, Xinxi, author.
Series SpringerBriefs in computer science.
Available in Other Form From Opinion Mining to Financial Argument Mining.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Modeling Financial Opinions
Sources and Corpora
Organizing Financial Opinions
Numerals in Financial Narratives
FinTech Applications
Perspectives and Conclusion.

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