# Determine sentiment if sentiment_scores['compound'] > 0.05: print("Positive") elif sentiment_scores['compound'] < -0.05: print("Negative") else: print("Neutral") This approach provides a basic framework for analyzing audience sentiment and recommending movies based on genre. It can be expanded with more sophisticated models and features to offer deeper insights and more accurate recommendations.
# Initialize VADER sentiment analyzer sia = SentimentIntensityAnalyzer()
# Analyze sentiment sentiment_scores = sia.polarity_scores(review)
Polis Evo 2 Pencuri Movie New [top] -
# Determine sentiment if sentiment_scores['compound'] > 0.05: print("Positive") elif sentiment_scores['compound'] < -0.05: print("Negative") else: print("Neutral") This approach provides a basic framework for analyzing audience sentiment and recommending movies based on genre. It can be expanded with more sophisticated models and features to offer deeper insights and more accurate recommendations.
# Initialize VADER sentiment analyzer sia = SentimentIntensityAnalyzer() polis evo 2 pencuri movie new
# Analyze sentiment sentiment_scores = sia.polarity_scores(review) # Determine sentiment if sentiment_scores['compound'] > 0