def saveCounts():
with open('total-counts.csv', 'w') as counts:
counts= csv.DictWriter(counts, states.keys())
counts.writeheader()
counts.writerow(states)
if __name__ == '__main__':
#geolocator = GoogleV3()
tweets = open('test.json', 'w', encoding='utf-8')
tweets.close()
sentiment_file_writer = csv.writer(open('FFsentiment.csv','w'), lineterminator='\n')
sentimentClassifier = NaiveBayes.getSentimentClassifier()
print("Sentiment Classifier Created")
sentimentTokenizer = happytokenizer.TweetTokenizer()
#This handles Twitter authentication and the connection to Twitter Streaming API
Tweetlistener = StdOutListener()
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
stream = Stream(auth, Tweetlistener)
#This line filter Twitter Streams to capture data posted from US in English with utf-8 encoding
while True:
try:
stream.filter(languages=['en'], async=False, locations=[-125,25,-65,48])
except:
