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from nltk.sentiment.vader import SentimentIntensityAnalyzer
from cassandra.cluster import Cluster
import re
compound = []
pos = []
neu = []
neg = []
def sentence_score(rs):
review_score = SentimentIntensityAnalyzer()
compound.append(review_score.polarity_scores(rs)['compound'])
neg.append(review_score.polarity_scores(rs)['neg'])
neu.append(review_score.polarity_scores(rs)['neu'])
pos.append(review_score.polarity_scores(rs)['pos'])
cluster = Cluster()
session = cluster.connect('twitter')
rows = session.execute('SELECT tweet FROM twitterdata')
for tweet in rows:
try:
sentence_score(tweet)
except re.error:
print(tweet)
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