Kimmy Fabel Online

import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer

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

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

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

The Kimmy Fabel Sentiment Analysis feature uses natural language processing (NLP) techniques to determine the sentiment of a given text. This feature can be useful for analyzing song lyrics, social media posts, or any other text data. social media posts

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

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