EAN: 9789811628801

SPRINGERBRIEFS IN COMPUTER SCIENCE FROM OPINI...

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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