From Opinion Mining to Financial Argument Mining

dc.contributor.authorChung-Chi Chen
dc.contributor.authorHen-Hsen Huang
dc.contributor.authorHsin-Hsi Chen
dc.date.accessioned2026-02-05T16:10:17Z
dc.date.available2026-02-05T16:10:17Z
dc.date.issued2021
dc.descriptionLibro electrónico
dc.description.abstractOpinion 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.
dc.identifier.isbn978-3-319-69623-855
dc.identifier.otherhttps://doi.org/10.1007/978-981-16-2881-8
dc.identifier.urihttps://link.springer.com/openurl?genre=book&isbn=978-981-16-2881-8
dc.identifier.urihttp://bibliovirtual.umar.mx:4000/handle/123456789/1683
dc.language.isoen_US
dc.publisherSpringer Nature Singapore
dc.titleFrom Opinion Mining to Financial Argument Mining
dc.typeBook
eperson.firstnamenombre
person.jobTitletrabajo

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