@inproceedings{chen-etal-2021-financial,
title = "Financial Opinion Mining",
author = "Chen, Chung-Chi and
Huang, Hen-Hsen and
Chen, Hsin-Hsi",
editor = "Jiang, Jing and
Vuli{\'c}, Ivan",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic {\&} Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-tutorials.2",
doi = "10.18653/v1/2021.emnlp-tutorials.2",
pages = "7--10",
abstract = "In this tutorial, we will show where we are and where we will be to those researchers interested in this topic. We divide this tutorial into three parts, including coarse-grained financial opinion mining, fine-grained financial opinion mining, and possible research directions. This tutorial starts by introducing the components in a financial opinion proposed in our research agenda and summarizes their related studies. We also highlight the task of mining customers{'} opinions toward financial services in the FinTech industry, and compare them with usual opinions. Several potential research questions will be addressed. We hope the audiences of this tutorial will gain an overview of financial opinion mining and figure out their research directions.",
}
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%0 Conference Proceedings
%T Financial Opinion Mining
%A Chen, Chung-Chi
%A Huang, Hen-Hsen
%A Chen, Hsin-Hsi
%Y Jiang, Jing
%Y Vulić, Ivan
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic & Online
%F chen-etal-2021-financial
%X In this tutorial, we will show where we are and where we will be to those researchers interested in this topic. We divide this tutorial into three parts, including coarse-grained financial opinion mining, fine-grained financial opinion mining, and possible research directions. This tutorial starts by introducing the components in a financial opinion proposed in our research agenda and summarizes their related studies. We also highlight the task of mining customers’ opinions toward financial services in the FinTech industry, and compare them with usual opinions. Several potential research questions will be addressed. We hope the audiences of this tutorial will gain an overview of financial opinion mining and figure out their research directions.
%R 10.18653/v1/2021.emnlp-tutorials.2
%U https://aclanthology.org/2021.emnlp-tutorials.2
%U https://doi.org/10.18653/v1/2021.emnlp-tutorials.2
%P 7-10
Markdown (Informal)
[Financial Opinion Mining](https://aclanthology.org/2021.emnlp-tutorials.2) (Chen et al., EMNLP 2021)
ACL
- Chung-Chi Chen, Hen-Hsen Huang, and Hsin-Hsi Chen. 2021. Financial Opinion Mining. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, pages 7–10, Punta Cana, Dominican Republic & Online. Association for Computational Linguistics.