def getTweets(searchTerm):
# TODO: check if classifier has been loaded
classifier = sentClassifier(True, 'classifier.pickle')
# Authentication details. To obtain these visit dev.twitter.com
consumer_key = 'consumer_key'
consumer_secret = 'consumer_secret'
access_token = 'access_token'
access_token_secret = 'access_token_secret'
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
results = []
#counter to bypass google geocode limit
counter = 0;
for t in tweepy.Cursor(api.search,
q=searchTerm,
rpp=100,
result_type="recent",
include_entities=True,
lang="en",
geocode="39.5,-98.35,1500mi").items(75):
myTweet = Tweet()
myTweet.tweetText = t.text.encode('utf-8')
myTweet.sentiment = classifier(t.text)[0].encode('utf-8')
myTweet.userName = t.user.screen_name.encode('utf-8')
myTweet.posProb = classifier(t.text)[1]
myTweet.negProb = classifier(t.text)[2]
myTweet.dateTime = t.created_at
if(t.user.location is not None):
try:
locationCoords = Geocoder.geocode(t.user.location)
myTweet.lat = locationCoords[0].coordinates[0]
myTweet.lng = locationCoords[0].coordinates[1]
except:
pass
counter ++ 1
if counter == 5:
time.sleep(0.21)
counter = 0
myTweet.retweetCount = t.retweet_count
myTweet.favoriteCount = t.favorite_count
myTweet.followerCount = t.user.followers_count
myTweet.chartKey = searchTerm.encode('utf-8')
myTweet.save()
def createClassifier(request):
classifier = sentClassifier()
classifier.saveClassifier("classifier.pickle")
return HttpResponse("Classifier created at 'classifier.pickle'.")
