| 书目名称 | From Opinion Mining to Financial Argument Mining | | 编辑 | Chung-Chi Chen,Hen-Hsen Huang,Hsin-Hsi Chen | | 视频video | | | 概述 | This book is open access, which means that you have free and unlimited access.Provides an overview of financial opinion mining.Discusses recent trends in detail and points out research directions of f | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2021 | | 关键词 | Open Access; financial opinion mining; text mining in finance; financial technology application; FinTech | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-2881-8 | | isbn_softcover | 978-981-16-2880-1 | | isbn_ebook | 978-981-16-2881-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2021 |
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发表于 2025-3-21 19:00:57
