Returns: dict: A dictionary containing the sentiment scores. """ sia = SentimentIntensityAnalyzer() sentiment_scores = sia.polarity_scores(text) return sentiment_scores
Kimmy Fabel is a popular Dutch singer-songwriter known for her emotive and introspective music. To create a feature inspired by her style, let's develop a sentiment analysis tool that can analyze the emotional tone of text inputs. kimmy fabel
Args: text (str): The text to analyze.
Here's a Python implementation of the Kimmy Fabel Sentiment Analysis feature using the NLTK library: Returns: dict: A dictionary containing the sentiment scores
# Download required NLTK data nltk.download('vader_lexicon') kimmy fabel
def kimmy_fabel_sentiment_analysis(text): """ Analyze the sentiment of a given text.
{'neg': 0.0, 'neu': 0.292, 'pos': 0.708, 'compound': 0.8439}
