def test_only_sentiments(self, sentences):
y_true = []
y_predicted = []
for i in sentences:
obj = Unsupervised(i[0])
result = obj.classify()
y_true.append(i[1])
y_predicted.append(result)
print i[0] + " " + i[1] + " " + result
print classification_report(y_true, y_predicted)
def __testUnsup(self, segmentos, entities):
results = []
for i in segmentos:
obj = Unsupervised(i)
result = obj.classify()
for j in entities:
if i.find(j[0]) != -1:
value = (j[0], result)
results.append(value)
return results
