Kimmy Fabel [ PRO › ]

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

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

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

import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer # Example usage text = "I'm feeling happy

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

{'neg': 0.0, 'neu': 0.292, 'pos': 0.708, 'compound': 0.8439}