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001437285 001__ 1437285
001437285 003__ OCoLC
001437285 005__ 20230309004141.0
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001437285 008__ 210612s2021\\\\si\a\\\\ob\\\\000\0\eng\d
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001437285 020__ $$a9789811628818$$q(electronic book)
001437285 020__ $$a9811628815$$q(electronic book)
001437285 020__ $$a9789811628825$$q(print)
001437285 020__ $$a9811628823
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001437285 0247_ $$a10.1007/978-981-16-2881-8$$2doi
001437285 035__ $$aSP(OCoLC)1256236708
001437285 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dOCLCO$$dGW5XE$$dOCLCO$$dOCLCF$$dVT2$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001437285 049__ $$aISEA
001437285 050_4 $$aQA76.9.D343$$bC44 2021
001437285 08204 $$a006.3/12$$223
001437285 1001_ $$aChen, Chung-Chi,$$eauthor.
001437285 24510 $$aFrom opinion mining to financial argument mining /$$cChung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen.
001437285 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001437285 300__ $$a1 online resource (x, 95 pages) :$$billustrations (chiefly color)
001437285 336__ $$atext$$btxt$$2rdacontent
001437285 337__ $$acomputer$$bc$$2rdamedia
001437285 338__ $$aonline resource$$bcr$$2rdacarrier
001437285 347__ $$atext file
001437285 347__ $$bPDF
001437285 4901_ $$aSpringerBriefs in computer science
001437285 504__ $$aIncludes bibliographical references.
001437285 5050_ $$aIntroduction -- Modeling Financial Opinions -- Sources and Corpora -- Organizing Financial Opinions -- Numerals in Financial Narratives -- FinTech Applications -- Perspectives and Conclusion.
001437285 506__ $$aAccess limited to authorized users.
001437285 520__ $$aOpinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in-depth analysis of investors' opinions. These works indicate the trend toward fine-grained opinion mining in the financial domain. When expressing opinions in finance, terms like bullish/bearish often spring to mind. However, the market sentiment of the financial instrument is just one type of opinion in the financial industry. Like other industries such as manufacturing and textiles, the financial industry also has a large number of products. Financial services are also a major business for many financial companies, especially in the context of the recent FinTech trend. For instance, many commercial banks focus on loans and credit cards. Although there are a variety of issues that could be explored in the financial domain, most researchers in the AI and NLP communities only focus on the market sentiment of the stock or foreign exchange. This open access book addresses several research issues that can broaden the research topics in the AI community. It also provides an overview of the status quo in fine-grained financial opinion mining to offer insights into the futures goals. For a better understanding of the past and the current research, it also discusses the components of financial opinions one-by-one with the related works and highlights some possible research avenues, providing a research agenda with both micro- and macro-views toward financial opinions.
001437285 588__ $$aOnline resource; title from digital title page (viewed on June 14, 2021).
001437285 650_0 $$aSentiment analysis.
001437285 650_0 $$aFinance$$xTechnological innovations.
001437285 650_6 $$aFinances$$xInnovations.
001437285 655_0 $$aElectronic books.
001437285 7001_ $$aHuang, Hen-Hsen,$$eauthor.
001437285 7001_ $$aChen, Xinxi,$$eauthor.
001437285 77608 $$iPrint version:$$aChen, Chung-Chi.$$tFrom Opinion Mining to Financial Argument Mining.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789811628801
001437285 830_0 $$aSpringerBriefs in computer science.
001437285 852__ $$bebk
001437285 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2881-8$$zOnline Access$$91397441.1
001437285 909CO $$ooai:library.usi.edu:1437285$$pGLOBAL_SET
001437285 980__ $$aBIB
001437285 980__ $$aEBOOK
001437285 982__ $$aEbook
001437285 983__ $$aOnline
001437285 994__ $$a92$$bISE