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February 21, 2016 20:17
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Sentiment Analysis of tweets streaming on twitter related to the users Entry.
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| import tweepy | |
| from tweepy import OAuthHandler | |
| from tweepy import Stream | |
| from tweepy.streaming import StreamListener | |
| from textblob import TextBlob | |
| import io | |
| consumer_key='Your Consumer Key' | |
| consumer_secret='Your Consumer Secret' | |
| access_token='Your Access Token' | |
| access_secret='Your Access Secret' | |
| auth=OAuthHandler(consumer_key,consumer_secret) | |
| auth.set_access_token(access_token,access_secret) | |
| api=tweepy.API(auth) | |
| fw=open("./sentiment.txt","w") | |
| class Listener(StreamListener): | |
| def on_data(self, raw_data): | |
| tweet= raw_data.split('text":')[1].split('","source"')[0] | |
| pol= str(TextBlob(tweet).polarity) | |
| full_tweet=tweet+" : "+pol | |
| fw.write(full_tweet+"\n") #write the data to a file called sentiment.txt | |
| print full_tweet | |
| def on_error(self, status_code): | |
| print "Error :",status_code | |
| choice=raw_input("Enter the choice: ") #Enter the term which is to be searched in the streaming tweets | |
| tweets=Stream(auth,Listener()) | |
| tweets.filter(track=[choice]) | |
| fw.close() |
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