A-Rain/BDCI2019-Negative_Finance_Info_Judge
BDCI2019金融负面信息判定-线上第一名
This project helps financial analysts and risk managers quickly identify negative financial information related to specific entities within large volumes of text. You input financial news articles or reports along with entities of interest, and it outputs a judgment on whether the information is negative for each entity. It is designed for professionals who need to efficiently flag potential risks or reputational issues from textual data.
160 stars. No commits in the last 6 months.
Use this if you need to automatically sift through financial texts to pinpoint negative mentions associated with companies, individuals, or other entities.
Not ideal if your primary need is general sentiment analysis not specifically focused on financial negativity or if you lack clearly defined entities within your text data.
Stars
160
Forks
29
Language
Python
License
—
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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