A simple Python program that analyzes if an email sounds Friendly, Rude, or Formal using rule-based text analysis — no machine learning required!
It uses keyword detection, punctuation patterns, and tone indicators to estimate the overall sentiment of an email.

This program analyzes a given email message by scanning for:

• Friendly words like “thanks”, “hello”, “cheers”
• Rude expressions such as “stupid”, “nonsense”, or “useless”
• Formal phrases like “dear”, “sincerely”, and “please find attached”

It then assigns a score for each tone category and reports which one dominates.
If two or more tones have similar scores, it classifies the email as Mixed.

✅ Detects three tones: Friendly, Rude, Formal
✅ Simple and rule-based — works offline
✅ Under 100 lines of clean Python code
✅ Handles punctuation and common polite/rude phrases
✅ Provides a score breakdown and a clear result

Download the script or clone the repository:

git clone https://github.com/yourusername/email-tone-analyzer.git
cd email-tone-analyzer
### to run the code 
python3 email_tone_analyzer.py