Sentimental-Analysis/test_fun.py at master · patel97/Sentimental-Analysis · GitHub

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from tweepy import Stream
from tweepy import OAuthHandler
from tweepy.streaming import StreamListener
import json
import sentiment_mod as s

#consumer key, consumer secret, access token, access secret.
ckey="xCAwmo5zvuAm8WxbglE48o0MR"
csecret="v6R80J38uQgLC5VtwLsk5fgff7GGtn1U43QgRFXTuS1am9wSJe"
atoken="3256740685-x4860mnThe0sggkWqdDjpGQnUBSMjjdAanZi9Wo"
asecret="1xAHMYd9cWXFqBImyE71YOt4Ft8D4GfRpHmimn0nhO4W5"

# from twitterapistuff import *

class listener(StreamListener):

	def on_data(self, data):

		all_data = json.loads(data)

		tweet = all_data["text"]
		sentiment_value, confidence = s.sentiment(tweet)
		print(tweet, sentiment_value, confidence)

		if confidence*100 >= 80:
			output = open("twitter-out.txt","a")
			output.write(sentiment_value)
			output.write('\n')
			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=["Fallout"])