Problem:
Financial news contains large volumes of unstructured text that can influence market perception but is difficult to analyze at scale.
What I Built:
I implemented an NLP pipeline that processes financial news articles, classifies sentiment, and aggregates insights to support market-aware analysis.
Tech Stack:
Text Classification
Data Analysis
NLP
Python
Transformers
