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 of 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.
CITATION STYLE
Chen, C.-C., Huang, H.-H., & Chen, H.-H. (2021). A Research Agenda for Financial Opinion Mining. Proceedings of the International AAAI Conference on Web and Social Media, 15, 1059–1063. https://doi.org/10.1609/icwsm.v15i1.18130
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