Fabel: Kimmy

Returns: dict: A dictionary containing the sentiment scores. """ sia = SentimentIntensityAnalyzer() sentiment_scores = sia.polarity_scores(text) return sentiment_scores

# Download required NLTK data nltk.download('vader_lexicon') kimmy fabel

{'neg': 0.0, 'neu': 0.292, 'pos': 0.708, 'compound': 0.8439} Returns: dict: A dictionary containing the sentiment scores

import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer kimmy fabel