twitter sentiment analysis

import tweepy
from textblob import TextBlob
import csv

def Tweep():

	consumer_key = ""
	consumer_secret = ""

	access_token = ""
	access_token_secret = ""

	auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
	auth.set_access_token(access_token, access_token_secret)

	return tweepy.API(auth)

def labeling(text):

	blob = TextBlob(text).sentiment

	if blob.subjectivity == 0:
		return 0 # If no subjectivity we wont use the tweet
	else:
		return 'Positive' if blob.polarity > 0 else 'Negative'


def give_me_csv(user, topic):

	list_of_tweets = user.search(topic, count=100)
	filename = 'twitter_sentiment_%s.csv' % topic.replace(' ','')

	with open(filename, 'w') as file:
		fieldnames = ['tweet', 'sentiment_score']

		writer = csv.DictWriter(file, fieldnames=fieldnames)
		writer.writeheader()

		for tweet in list_of_tweets:
			tweet_text = tweet.text.encode('utf-8')
			score = labeling(tweet.text)

			if score != 0:
				writer.writerow({
					'tweet' : tweet_text,
					'sentiment_score' : score
					})


def main():

	# Login twitter
	user = Tweep()
	# Ask topic 
	topic = raw_input('Enter a topic to search: ')

	# Generate file
	give_me_csv(user, topic)


if __name__ == '__main__':
	main()

wp_embed_register_handler( 'gist', '/https?:\/\/gist\.github\.com\/([a-z0-9]+)(\?file=.*)?/i', 'bhww_embed_handler_gist' );

	function bhww_embed_handler_gist( $matches, $attr, $url, $rawattr ) {

		$embed = sprintf(
				'<script src="https://gist.github.com/%1$s.js%2$s"></script>',
				esc_attr($matches[1]),
				esc_attr($matches[2])
				);

		return apply_filters( 'embed_gist', $embed, $matches, $attr, $url, $rawattr );
		
	}

Change your access tokens!! Public gists are indexed and searchable!

Thanks !