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Run this module

cd "Sentiment Analysis on News"
python "sentiment_analysis.py"

View source on GitHub

Sentiment Analysis on News Utility (NO API)

This utility does NOT use any external APIs. All sentiment analysis is done locally using a simple rule-based approach for learning and experimentation.

This tool lets you analyze the sentiment of news headlines or short texts using a basic positive/negative word list. You can enter headlines, see the sentiment score, and view a summary of results.

Features

  • Analyze sentiment of news headlines or short texts
  • Uses a simple rule-based approach (positive/negative word lists)
  • View sentiment score and summary (positive, negative, neutral)
  • CLI interface (Python script)
  • Beginner-friendly: All code is commented for learning

Requirements

  • Python 3.7+
  • No external libraries required (uses only Python standard library)

Setup

  1. Copy sentiment_analysis.py to your desired folder.
  2. Open a terminal in that folder.

Usage Workflow (Step-by-Step)

  1. Run the script: 
    python sentiment_analysis.py
  2. Follow the menu prompts:
  3. Enter news headlines or short texts
  4. View sentiment score and summary
  5. Analyze multiple headlines in a session
  6. Exit when done.

No real market data or ML models are used. This is for learning only!

Example Session

Welcome to the Sentiment Analysis on News Utility!
1. Analyze headline
2. View session summary
3. Exit
Enter your choice: 1
Enter headline: Apple stock surges after strong earnings
Sentiment: Positive (Score: 2)

Learning Notes

  • No API: All analysis is managed in Python, so you can see and modify the logic yourself.
  • How does it work? The code uses simple word lists to score sentiment, with comments explaining each step.
  • How can you extend it? Try adding more words, or using a more advanced ML model!

License

MIT

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