Sentiment Analysis Function Overview

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Code introduction


This code defines a function to analyze the sentiment polarity and subjectivity of a text. Sentiment polarity is a value between -1 and 1, where 1 represents very positive sentiment, -1 represents very negative sentiment, and 0 represents neutral. Subjectivity is a value between 0 and 1, where 1 represents very subjective, and 0 represents very objective.


Technology Stack : TextBlob, sentiment analysis

Code Type : The type of code

Code Difficulty : Advanced


                
                    
def analyze_sentiment(text):
    from textblob import TextBlob
    
    # Create a TextBlob object
    blob = TextBlob(text)
    
    # Get sentiment polarity and subjectivity
    sentiment = blob.sentiment
    
    # Extract polarity and subjectivity values
    polarity = sentiment.polarity
    subjectivity = sentiment.subjectivity
    
    return polarity, subjectivity