def storeTweetSentiment(self, tweet):
try:
related_topic_term = self.isTweetRelatedFF(tweet)[1]
text = tweet['text']
sentiment = NaiveBayes.sentimentClassify(text, sentimentTokenizer, stopwords, sentimentClassifier)
state = getTweetState(tweet)
sentiment_file_writer = csv.writer(open('FFsentiment.csv','a'), lineterminator='\n')
sentiment_file_writer.writerow((related_topic_term, tweet['text'], sentiment, state))
except:
e = sys.exc_info()[0]
print( "<p>Error: %s</p>" % e )
