👀GitHub ✨Official Website

SentimentSage - Market News Sentiment Analyzer 😎

SentimentSage is a powerful AI-driven platform designed to provide deep insights and analytics on financial news and market sentiment. By leveraging cutting-edge Natural Language Processing (NLP) models like FinBERT, combined with advanced Retrieval-Augmented Generation (RAG) technology, SentimentSage can quickly analyze vast amounts of financial data, extract sentiment, and generate accurate, actionable investment summaries.

• original source code: only includes python code and run it on terminal
• software: web-based UI
• you can also use the code to train your own FinBERT model: https://github.com/JerryTseee/FinBERT-finetuning.git

Original Source Code 📦

• register Openai API key and NewsAPI Key
• replace the api keys on paths in the test.py
• pip install -r requirements.txt
• run the test.py
• then you can use the analyze tool, start with input your chosen company ticker

Software Version 🚀

to deploy the application to your local:

• Streamlit Cloud
• Create a new repository on GitHub
• Upload your files
• Make sure your repository is public
• Go to share.streamlit.io
• Sign in with GitHub
• Click "New app"
• Select your repository
• Set main file path: streamlit_app.py
• Click "Deploy"
• Add secrets in the "Secrets" section:
• OPENAI_API_KEY = "your-openai-key"
• NEWS_API_KEY = "your-news-api-key"