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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"]] | |
print(data.head()) |
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