tpetkovich/news_KG
Knowledge graphs and financial news analytics with large language models
This project helps financial analysts and traders get more accurate sentiment analysis from news by using a 'knowledge graph' to provide factual context. It takes financial news articles and facts from your internal databases, then produces sentiment values that are more reliable because they're grounded in verified information. Anyone involved in financial market analysis or investment decision-making would find this useful.
No commits in the last 6 months.
Use this if you need to perform highly accurate sentiment analysis on financial news, leveraging your organization's existing, verified financial data.
Not ideal if you're looking to extract facts directly from unstructured text data or if you don't have access to existing, curated financial knowledge graphs.
Stars
9
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/tpetkovich/news_KG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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