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From Opinion Mining to Financial Argument Mining (SpringerBriefs in Computer Science) by Chung-Chi Chen; Hen-Hsen Huang; Hsin-Hsi Chen is a nonfiction available to read on EtoBox.

What is From Opinion Mining to Financial Argument Mining (SpringerBriefs in Computer Science) about?

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 m

Who reads From Opinion Mining to Financial Argument Mining (SpringerBriefs in Computer Science)?

Author

Chung-Chi Chen; Hen-Hsen Huang; Hsin-Hsi Chen

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2021

Language

EN

ISBN

9789811628818

Category

nonfiction

Subjects

Finance, Computer Science, Mathematics