AI Powered Financial News Sentiment Analyzer

Overview

Built an NLP model using BERT to analyze market headlines and classify sentiment polarity. Achieved over 90% sentiment classification accuracy.

Technical Details

Automated real time data ingestion with BeautifulSoup and deployed inference through Flask REST API on AWS EC2. Achieved over 90% sentiment classification accuracy, linking mood scores to short term stock volatility.

Technologies