论文标题
细粒度的财务意见挖掘：调查和研究议程
Fine-grained Financial Opinion Mining: A Survey and Research Agenda
论文作者
论文摘要
意见挖掘是许多领域中普遍的研究问题。但是，在金融领域，它仍处于早期阶段。关于该主题的大多数研究仅着眼于粗粒市场情感分析，即对看涨/看跌的2条分类。多亏了最近的金融技术（Fintech）开发，一些跨学科研究人员开始参与对投资者意见的深入分析。在该立场论文中，我们首先从粗粒和细粒度的观点来定义财务意见，然后就已经解决的问题概述。除了列出现有主题的研究问题外，我们进一步提出了一个针对未来研究的精细金融意见挖掘的路线图，并指出了一些尚未探索的挑战。此外，我们提供了解决拟议的研究问题的可能指示。
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. In this position paper, we first define the financial opinions from both coarse-grained and fine-grained points of views, and then provide an overview on the issues already tackled. In addition to listing research issues of the existing topics, we further propose a road map of fine-grained financial opinion mining for future researches, and point out several challenges yet to explore. Moreover, we provide possible directions to deal with the proposed research issues.
