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Created September 13, 2021 10:04
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twitter3.py
from nltk.sentiment.vader import SentimentIntensityAnalyzer
nltk.download('vader_lexicon')
sentiments = SentimentIntensityAnalyzer()
data["Positive"] = [sentiments.polarity_scores(i)["pos"] for i in data["tweet"]]
data["Negative"] = [sentiments.polarity_scores(i)["neg"] for i in data["tweet"]]
data["Neutral"] = [sentiments.polarity_scores(i)["neu"] for i in data["tweet"]]
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