Fine-grained Financial Opinion Mining: A Survey and Research Agenda

• URL: http://arxiv.org/abs/2005.01897v3
• Date: Wed, 20 May 2020 11:30:48 GMT
• Title: Fine-grained Financial Opinion Mining: A Survey and Research Agenda
• Authors: Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
• Abstract summary: 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. We propose a road map of fine-grained financial opinion mining for future researches, and point out several challenges yet to explore.
• Score: 50.27357144360525
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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. 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.

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