A simple breakdown of how raw news gets turned into usable sentiment data—from collecting headlines across thousands of sources to NLP models extracting topics and entities to classifying each story as positive, neutral, or negative, and finally surfacing trends and market signals businesses can actually act on. A clear visual for anyone curious how AI-driven sentiment analysis works in practice.