From Opinion Mining to Financial Argument Mining
| dc.contributor.author | Chung-Chi Chen | |
| dc.contributor.author | Hen-Hsen Huang | |
| dc.contributor.author | Hsin-Hsi Chen | |
| dc.date.accessioned | 2026-02-05T16:10:17Z | |
| dc.date.available | 2026-02-05T16:10:17Z | |
| dc.date.issued | 2021 | |
| dc.description | Libro electrónico | |
| dc.description.abstract | 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. | |
| dc.identifier.isbn | 978-3-319-69623-855 | |
| dc.identifier.other | https://doi.org/10.1007/978-981-16-2881-8 | |
| dc.identifier.uri | https://link.springer.com/openurl?genre=book&isbn=978-981-16-2881-8 | |
| dc.identifier.uri | http://bibliovirtual.umar.mx:4000/handle/123456789/1683 | |
| dc.language.iso | en_US | |
| dc.publisher | Springer Nature Singapore | |
| dc.title | From Opinion Mining to Financial Argument Mining | |
| dc.type | Book | |
| eperson.firstname | nombre | |
| person.jobTitle | trabajo |
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