News Sentiment Analyzer

Overview

Analyzes news headlines, articles, and media coverage to extract sentiment signals and detect narrative shifts.

What It Does

Scans major news outlets, aggregators, and specialized publications. Uses NLP to analyze headline sentiment, article tone, and coverage volume. Tracks how media narratives evolve over time.

Why It Matters

Media framing shapes public perception. Detecting shifts in news sentiment often precedes changes in polling and market prices.

How It Works

Processes news feeds in real-time, categorizes by topic and entity, scores sentiment using trained models, and tracks temporal trends in coverage tone.

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