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- import nltk
- #nltk.download('punkt')
- #nltk.download('vader_lexicon')
- from nltk.sentiment.vader import SentimentIntensityAnalyzer
- sia = SentimentIntensityAnalyzer()
- def calc_score(text:str):
- score = sia.polarity_scores(text)
- if(score['compound']>=0.05):
- return "Positive"
- elif(score['compound']<0.05 and score['compound']>-0.05):
- return "Neutral"
- else:
- return "Negative"
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