def to_classification_object(cls, json):
c = ClassificationObject()
c.source = 'twitter'
c.text = json['text']
c.created_at = json['created_at']
return c
def classify_text(self, text):
if not hasattr(self, 'classifiers'): self.train()
# Extract keywords like we do when learning
c = ClassificationObject()
c.text = text
c.process()
return self.classify(c)
def save_classification_object(line, tags):
c = ClassificationObject()
c.text = line
c.process()
c.tags = tags
c.save()
