AI-Driven Financial Modeling in Sri Lanka: Integrating NLP, Clustering, and Time-Series Analysis

The article suggests a novel approach to financial modeling by blending natural language processing, clustering, and time-series forecasting within the Sri Lankan market context. The potential for improved accuracy and insights is high, though practical implementation and validation are crucial for real-world impact.

• •The research utilizes a combination of NLP, clustering, and time-series forecasting for financial modeling.
• •The application is specifically tailored for the Sri Lankan financial market.
• •The approach aims to enhance financial model accuracy and provide improved insights.