Fine-grained Financial Opinion Mining: A Survey and Research Agenda
It identifies a gap in financial opinion mining for researchers and practitioners, but is incremental as it builds on existing work without presenting new results.
This paper addresses the lack of fine-grained analysis in financial opinion mining, which has traditionally focused on coarse-grained sentiment classification, by defining financial opinions and proposing a research agenda for future studies.
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.