Coarse-grained financial opinions can be represented in the following 4-tuple form:
$$(e, s, h, t^p)$$
where $e$ denotes the target entity, $s$ denotes the sentiment, $h$ denotes the opinion holder, and $t^p$ denotes the publishing time.

Coarse-Grained Financial Opinion Information Representation

Few works involve in mining the opinions of the products and the service from customers in the financial domain, although these are also very important for financial institutions. Capturing the opinions from customers’ discussion on the online forum is a possible direction for evaluating customer satisfaction and customer service quality. On the other hand, the opinions of the products can also provide cues for improving the next product.

Mining Opinions of Products and Services From Customers

Coarse-grained financial opinions can be separated into two (bullish/bearish or positive/negative) or three (bullish/bearish/neutral or positive/negative/neutral) classes, and each opinion related to one target entity.

University of Michigan - Ann Arbor

Financial opinion can be separated into two main aspects:
- Investor's opinion: the opinion about financial instruments
- Customer's opinion: the opinion about the financial product or financial service

Based on the two opinion types, we can also define the opinions by both coarse-grained and fine-grained viewpoints.

Financial Opinion Mining

Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen. 2020. Fine-grained Financial Opinion Mining: A Survey and Research Agenda. arXiv:2005.01897 [cs.CL]. https://arxiv.org/pdf/2005.01897.pdf.

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

Coarse-Grained Financial Opinion

Fine-grained financial opinions can be seen as an extension of coarse-grained financial opinion, potentially in the following aspects:
- Analysis aspect
- Degree of sentiment
- Investor's claims
- Market information
- Validity time period

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