Polarity Score

from nltk.sentiment.vader import SentimentIntensityAnalyzer
def get_polorize_score(sentence):
    sid = SentimentIntensityAnalyzer()
    
    print(sentence)
    ss = sid.polarity_scores(sentence)
    
    return ss
print(get_polorize_score('very Good support for work.'))
very Good support for work.
{'neg': 0.0, 'neu': 0.327, 'pos': 0.673, 'compound': 0.7328}

print(get_polorize_score('Something went wrong in this model'))
Something went wrong in this model
{'neg': 0.383, 'neu': 0.617, 'pos': 0.0, 'compound': -0.4767}