hristijanpeshov/SHAP-Explainable-Lexicon-Model
This project proposes a novel methodology to automatically learn financial lexicons that outperform the benchmark Loughran-McDonald lexicon in sentiment analysis tasks
No commits in the last 6 months.
Stars
15
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/hristijanpeshov/SHAP-Explainable-Lexicon-Model"
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...
tetratensor/Stock-Market-News-Sentiment-Analysis
A Python-based news sentiment analysis using Hugging Face Sentiment Analysis Model and Dataset.
OmarGard/StockSentimentAnalysis
This is a stock sentiment analysis app that gathers Reddit threads and PolygonIO Financial data...