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df = pd.DataFrame(data, columns=["Date", 'Time', 'Author', 'Message'])
df['Date'] = pd.to_datetime(df['Date'])
data = df.dropna()
from nltk.sentiment.vader import SentimentIntensityAnalyzer
sentiments = SentimentIntensityAnalyzer()
data["Positive"] = [sentiments.polarity_scores(i)["pos"] for i in data["Message"]]
data["Negative"] = [sentiments.polarity_scores(i)["neg"] for i in data["Message"]]
data["Neutral"] = [sentiments.polarity_scores(i)["neu"] for i in data["Message"]]
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