News Sentiment Analyzer

Track news sentiment for any topic, brand, or company. Fetches headlines from Google News RSS and analyzes overall sentiment, key themes, and media bias with Claude AI. No news API key required.

What it does

Fetches recent headlines for any search topic from Google News RSS (no API key needed), then sends them to Claude AI for sentiment analysis. You get an overall sentiment score (−1.0 to +1.0), a breakdown of positive vs. negative angles, key themes across coverage, and notes on how different outlets cover the topic differently.

Features

• Fetch headlines from Google News RSS - no API key needed
• Overall sentiment score and classification
• Per-article sentiment labels
• Key themes across coverage
• Positive vs. negative angle breakdown
• Media bias observation across sources
• Export to Markdown, HTML (visual meter), or JSON

Quick start

git clone https://github.com/Get-Ai-Tools/news-sentiment-analyzer
cd news-sentiment-analyzer
pip install -r requirements.txt

# Analyze sentiment for a topic
python analyzer.py --api-key sk-ant-... --topic "Tesla"

# Last 7 days, HTML output with sentiment meter
python analyzer.py --api-key sk-ant-... --topic "Bitcoin" --days 7 --output html

# Analyze your own headlines
python analyzer.py --api-key sk-ant-... --headlines my-headlines.txt

Use cases

• Brand monitoring - track press coverage sentiment for your company
• Investment research - gauge media sentiment on stocks before earnings
• Competitive analysis - compare how competitors are covered
• Content strategy - find positive angles in your niche to amplify

Requirements

• Python 3.8+
• requests, anthropic (auto-installed)
• Claude API key - get one free at console.anthropic.com