A Research Agenda for Financial Opinion Mining

  • Chen C
  • Huang H
  • Chen H
N/ACitations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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 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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free