FRIDAYS: A Financial Risk Information Detecting and Analyzing System

Authors

  • Chi-Han Du Academia Sinica
  • Yi-Shyuan Chiang Academia Sinica
  • Kun-Che Tsai Academia Sinica
  • Liang-Chih Liu National Taipei University of Technology
  • Ming-Feng Tsai National Chengchi University
  • Chuan-Ju Wang Academia Sinica

DOI:

https://doi.org/10.1609/aaai.v33i01.33019853

Abstract

We present FRIDAYS, a financial risk information detecting and analyzing system that enables financial professionals to efficiently comprehend financial reports in terms of risk and domain-specific sentiment cues. Our system is designed to integrate multiple NLP models trained on financial reports but on different levels (i.e., word, multi-word, and sentence levels) and to illustrate the prediction results generated by the models. The system is available online at https://cfda.csie.org/FRIDAYS/.

AAAI-19 Proceedings Cover

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Published

2019-07-17

How to Cite

Du, C.-H., Chiang, Y.-S., Tsai, K.-C., Liu, L.-C., Tsai, M.-F., & Wang, C.-J. (2019). FRIDAYS: A Financial Risk Information Detecting and Analyzing System. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9853-9854. https://doi.org/10.1609/aaai.v33i01.33019853

Issue

Vol. 33 No. 01: AAAI-19, IAAI-19, EAAI-20

Section

Demonstration Track