Kimmy Fabel Now

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

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

def kimmy_fabel_sentiment_analysis(text): """ Analyze the sentiment of a given text. # Download required NLTK data nltk

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

Here's a Python implementation of the Kimmy Fabel Sentiment Analysis feature using the NLTK library:

Args: text (str): The text to analyze.

# Example usage text = "I'm feeling happy and excited for the weekend!" sentiment_scores = kimmy_fabel_sentiment_analysis(text) print(sentiment_scores)