def run(self):
while(True):
data = self.harvester.queue.get(True, timeout=120)
try:
c = self.harvester.to_classification_object(data)
except KeyError:
continue
c.process()
LanguageClassifier.classify(c)
if (c.tags['english'] > 0.8):
self.publish(c)
c.save()
def run(self):
while (True):
data = self.harvester.queue.get(True)
try:
c = self.harvester.to_classification_object(data)
except KeyError:
continue
c.process()
if LanguageClassifier._english_score(c.text.split()) > 0.8:
c.save()
def run(self):
while(True):
data = self.harvester.queue.get(True)
try:
c = self.harvester.to_classification_object(data)
except KeyError:
continue
c.process()
if LanguageClassifier._english_score(c.text.split()) > 0.8:
c.save()
def run(self):
while (True):
data = None
if (random.random() < 0.9):
print "Real!"
data = self.harvester.queue.get(True, timeout=120)
else:
print "Example!"
data = self.example_movie_tweet()
try:
c = self.harvester.to_classification_object(data)
except KeyError as e:
continue
c.process()
LanguageClassifier.classify(c)
self.NAIVE_BAYES.classify(c)
if (self.exceeds_thresholds(c)):
self.publish(c)
c.save()
def run(self):
while(True):
data = None
if (random.random() < 0.9):
print "Real!"
data = self.harvester.queue.get(True, timeout=120)
else:
print "Example!"
data = self.example_movie_tweet()
try:
c = self.harvester.to_classification_object(data)
except KeyError as e:
continue
c.process()
LanguageClassifier.classify(c)
self.NAIVE_BAYES.classify(c)
if (self.exceeds_thresholds(c)):
self.publish(c)
c.save()