# 🐍 Quick AI Project Hack: Sentiment Analysis!
# Perfect for analyzing reviews, social media, or user feedback!

from textblob import TextBlob

# Your project's input, e.g., user feedback or a comment
user_feedback = "This course material is absolutely brilliant and super easy to understand!"

# Create a TextBlob object
analysis = TextBlob(user_feedback)

# Get polarity (-1 to 1: negative to positive)
# and subjectivity (0 to 1: objective to subjective)
sentiment_score = analysis.sentiment.polarity
subjectivity_score = analysis.sentiment.subjectivity

print(f"Text: '{user_feedback}'")
print(f"Polarity: {sentiment_score:.2f}")
print(f"Subjectivity: {subjectivity_score:.2f}")

if sentiment_score > 0.2: # You can adjust this threshold
    print("Verdict: Highly Positive! 😄")
elif sentiment_score < -0.2:
    print("Verdict: Negative! 😠")
else:
    print("Verdict: Neutral/Mild. 😐")

# Real-world use: Automatically categorize customer reviews or forum posts!

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