def prob_classify(self, text):
        text_features = self.extract_features(text)
        return self.classifier.prob_classify(text_features)
Returns an object which is generated from a buffer including the
dataset/ETHPy150Open sloria/TextBlob/textblob/classifiers.py/NaiveBayesClassifier.prob_classify--crossover with--dataset/ETHPy150Open osrg/ryu/ryu/ofproto/ofproto_v1_5_parser.py/OFPMatch.parser