TY - JOUR AU - Chen, Chung-Chi AU - Huang, Hen-Hsen AU - Chen, Hsin-Hsi PY - 2021/05/22 Y2 - 2024/03/28 TI - A Research Agenda for Financial Opinion Mining JF - Proceedings of the International AAAI Conference on Web and Social Media JA - ICWSM VL - 15 IS - 1 SE - Poster Papers DO - 10.1609/icwsm.v15i1.18130 UR - https://ojs.aaai.org/index.php/ICWSM/article/view/18130 SP - 1059-1063 AB - 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. ER -