Created
March 9, 2015 09:06
-
-
Save rakeshsukla53/197f287821c564dbfdfd to your computer and use it in GitHub Desktop.
Twiter Sentiment Analysis
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from tweepy import Stream | |
from tweepy import OAuthHandler | |
from tweepy.streaming import StreamListener | |
import urllib, json | |
import urllib2 | |
ckey = '' | |
csecret = '' | |
atoken = '' | |
asecret = '' | |
sentdexAuth = "" | |
def sentimentAnalysis(text): | |
encoded_text = urllib.quote(text) | |
API_Call = "http://sentdex.com/api/api.php?text="+encoded_text+'&auth='+sentdexAuth | |
output = urllib.urlopen(API_Call).read() | |
print output | |
return output | |
class listener(StreamListener): | |
def on_data(self, data): | |
all_data = json.loads(data) | |
tweet = all_data['text'] | |
sentimentRating = sentimentAnalysis(tweet) | |
saveMe = tweet + "::" + sentimentRating+'\n' | |
output = open("output.csv", "a") | |
output.write(saveMe) | |
output.close() | |
return True | |
def on_error(self, status): | |
print status | |
auth = OAuthHandler(ckey, csecret) | |
auth.set_access_token(atoken, asecret) | |
twitterStream = Stream(auth, listener()) | |
twitterStream.filter(track=["car"]) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment