A simple Python script that fetches the latest U.S. news headlines and performs a quick sentiment check using lists of positive and negative words. Perfect for a lightweight peek into how “positive” or “negative” today’s headlines sound!

• Live Headlines: Fetches current top headlines from News API
• Word-Based Sentiment: Counts how many positive and negative words appear in each headline
• Readable Output: Prints each headline with its sentiment word counts
• Lightweight: Uses only Python’s standard libraries + requests

1. Make sure you have Python 3.x installed.

2. Install the required dependency:

   pip install requests

3. Get your free API key from newsapi.org

4. Set the API key as an environment variable:

macOS / Linux:

export NEWS_API_KEY="your_api_key_here”

(to make it permanent, add this line to your ~/.bashrc or ~/.zshrc)

Windows (PowerShell):

setx NEWS_API_KEY "your_api_key_here"

├── #1024_mini_news_headline_analyzer.py
├── positive-words.txt
└── negative-words.txt

Run the script:

python #1024_mini_news_headline_analyzer.py

Example Output:

'Markets surge as tech stocks rebound' → {'num_pos_words': 2, 'num_neg_words': 0}
'Wildfires cause major damage across the west' → {'num_pos_words': 0, 'num_neg_words': 1}

• Fetches top U.S. headlines from the News API
• Loads positive and negative words from the text files
• Counts how many occur in each headline
• Prints a quick sentiment summary for each one

MIT License — free to use, modify, and share.