Analyze the sentiment (positive, negative, or neutral) of any text input using Python's TextBlob library.
This script classifies text based on polarity and displays the result in a clean, emoji-coded format.

• 🧩 Under 100 lines of code
• ⚙️ Uses the TextBlob library for polarity-based sentiment analysis
• 🧠 Detects Positive 😊, Negative 😞, or Neutral 😐 tone
• 🧵 Handles invalid or empty input safely
• 💬 Clean and beginner-friendly terminal interface

If you haven’t already, install textblob and its corpora:

pip install textblob
python -m textblob.download_corpora

Make sure to run inside your conda environment (e.g. sentiment_env).

python mini_sentiment_analyzer.py

Example Output:

MINI SENTIMENT ANALYZER
Type a sentence or paragraph to analyze sentiment.

Enter your text: I love Hacktoberfest and open source!

📊 Sentiment Result: Positive 😊

(Uses TextBlob for polarity-based sentiment detection.)