Python Code and Output

import nltk
nltk.download('vader_lexicon')
from nltk.sentiment import SentimentIntensityAnalyzer

def analyze_sentiment(text):
    # Create a SentimentIntensityAnalyzer object
    sid = SentimentIntensityAnalyzer()

    # Analyze the sentiment of the text
    scores = sid.polarity_scores(text)

    # Determine the sentiment based on the compound score
    if scores['compound'] >= 0.05:
        sentiment = 'positive'
    elif scores['compound'] <= -0.05:
        sentiment = 'negative'
    else:
        sentiment = 'neutral'

    return sentiment, scores

# Test the sentiment analysis function
text = input("Enter any text for sentiment analysis: ")
sentiment, scores = analyze_sentiment(text)
print(f"Text: {text}")
print(f"Sentiment: {sentiment}")
print(f"Sentiment Scores: {scores}")