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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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From Opinion Mining to Financial Argument Mining (Paperback, 1st ed. 2021)
Loot Price: R1,110
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From Opinion Mining to Financial Argument Mining (Paperback, 1st ed. 2021)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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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 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.
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