From opinion mining to financial argument mining / Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen.
2021
QA76.9.D343 C44 2021
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Details
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
9811628815 (electronic book)
9789811628825 (print)
9811628823
9789811628801 (paperback)
9811628807
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.
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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.
Chen, Xinxi, author.
Series
SpringerBriefs in computer science.
Available in Other Form
From Opinion Mining to Financial Argument Mining.
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Online Access
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Table of Contents
Introduction
Modeling Financial Opinions
Sources and Corpora
Organizing Financial Opinions
Numerals in Financial Narratives
FinTech Applications
Perspectives and Conclusion.
Modeling Financial Opinions
Sources and Corpora
Organizing Financial Opinions
Numerals in Financial Narratives
FinTech Applications
Perspectives and Conclusion.