About this document
Sentiment Intensity in AI Stock Predictions by Raghavendra gs is a document available to read on EtoBox.
This study explores the integration of sentiment intensity from market news into AI/ML stock price prediction models to enhance forecasting accuracy. It proposes a novel framework that quantifies sentiment intensity using natural language processing techniques and evaluates its impact on predictive capabilities. Findings indicate that incorporating sentiment intensity significantly improves the models
- Author
- Raghavendra gs
- Language
- EN