# Sentiment Analysis with TextBlob

This guide demonstrates how to perform simple sentiment analysis on text using the `TextBlob` library. TextBlob provides a simple API for diving into common natural language processing (NLP) tasks.

**Modules Used:**
*   `textblob`: For processing textual data.
*   [[programming/python/modules/argparse-module|argparse]]: To handle command-line arguments.

## Installation

```bash
pip install textblob
python -m textblob.download_corpora
```

## The Code

Save this as `sentiment.py`.

```python
from textblob import TextBlob
import argparse

def analyze_sentiment(text):
    print(f"Analyzing: \"{text}\"\n")
    
    blob = TextBlob(text)
    
    # Polarity: Float within the range [-1.0, 1.0]
    # -1.0 is very negative, 1.0 is very positive
    polarity = blob.sentiment.polarity
    
    # Subjectivity: Float within the range [0.0, 1.0]
    # 0.0 is very objective, 1.0 is very subjective
    subjectivity = blob.sentiment.subjectivity
    
    print(f"Polarity:     {polarity:.2f}", end=" ")
    if polarity > 0.1:
        print("(Positive)")
    elif polarity < -0.1:
        print("(Negative)")
    else:
        print("(Neutral)")
        
    print(f"Subjectivity: {subjectivity:.2f}", end=" ")
    if subjectivity > 0.5:
        print("(Subjective/Opinion)")
    else:
        print("(Objective/Fact)")

    # Sentence-level analysis
    if len(blob.sentences) > 1:
        print("\nSentence Breakdown:")
        for sentence in blob.sentences:
            print(f"  - \"{sentence}\" (Polarity: {sentence.sentiment.polarity:.2f})")

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="TextBlob Sentiment Analyzer")
    parser.add_argument("text", help="Text to analyze")
    
    args = parser.parse_args()
    
    analyze_sentiment(args.text)
```

## Usage

```bash
# Analyze a simple sentence
python sentiment.py "I love programming in Python. It is amazing."

# Analyze a negative sentence
python sentiment.py "This is the worst experience I have ever had."
```

[[programming/python/python]]