chirindaopensource/measuring_economic_outlook_in_news
End-to-End Python implementation of Beck et al.'s (2025) economic sentiment analysis framework for constructing a high-frequency economic sentiment indicator using 1024-dimensional Jina embeddings and LLM-generated training data. Features L2-regularized classification and rigorous POOS econometric validation with DM-HAC tests for GDP forecasting.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/chirindaopensource/measuring_economic_outlook_in_news"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sandesha21/Stock-Market-News-Sentiment-Analysis-and-Summarization
NLP pipeline for classifying sentiment in financial news and generating weekly summaries of...
lifeadventurer/sentify
Leveraging Sentiment Analysis on News for Stock Market Insights
GunjanDhanuka/stocks-trading-bot
A multi-purpose repository with Sentiment Analysis of Stocks news, and Reinforcement learning...
hristijanpeshov/SHAP-Explainable-Lexicon-Model
This project proposes a novel methodology to automatically learn financial lexicons that...
tetratensor/Stock-Market-News-Sentiment-Analysis
A Python-based news sentiment analysis using Hugging Face Sentiment Analysis Model and Dataset.