000 | 04278nam a22006135i 4500 | ||
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001 | 978-981-16-2881-8 | ||
003 | DE-He213 | ||
005 | 20240507154520.0 | ||
007 | cr nn 008mamaa | ||
008 | 210520s2021 si | s |||| 0|eng d | ||
020 |
_a9789811628818 _9978-981-16-2881-8 |
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024 | 7 |
_a10.1007/978-981-16-2881-8 _2doi |
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050 | 4 | _aQA76.9.N38 | |
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_aUYQL _2bicssc |
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_aCOM073000 _2bisacsh |
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_aUYQL _2thema |
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082 | 0 | 4 |
_a006.35 _223 |
100 | 1 |
_aChen, Chung-Chi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aFrom Opinion Mining to Financial Argument Mining _h[electronic resource] / _cby Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2021. |
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300 |
_aX, 95 p. 24 illus., 21 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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505 | 0 | _aIntroduction -- Modeling Financial Opinions -- Sources and Corpora -- Organizing Financial Opinions -- Numerals in Financial Narratives -- FinTech Applications -- Perspectives and Conclusion. | |
506 | 0 | _aOpen Access | |
520 | _aOpinion 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. | ||
650 | 0 | _aNatural language processing (Computer science). | |
650 | 0 | _aData mining. | |
650 | 0 |
_aArtificial intelligence _xData processing. |
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650 | 0 | _aApplication software. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aNatural Language Processing (NLP). |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aData Science. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aHuang, Hen-Hsen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aChen, Hsin-Hsi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811628801 |
776 | 0 | 8 |
_iPrinted edition: _z9789811628825 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5776 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-16-2881-8 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-SOB | ||
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_c37399 _d37399 |