def classify_traffic(text,classifier): pro_text = preprocessor().preprocess(text,[]) ft_pro_text = dict([(word, True) for word in pro_text]) label = classifier.classify(ft_pro_text) isTraffic = False probability = 0 #>>>>>>>>>>>>>>>>>>>>>FIND THE PROBABILITY<<<<<<<<<<<<<<<<< if label == 'traffic': isTraffic = True probability_dict = classifier.prob_classify(ft_pro_text) probability = probability_dict.prob('traffic') print text, probability, isTraffic return isTraffic, probability
def classify_traffic(text, classifier): pro_text = preprocessor().preprocess(text, []) ft_pro_text = dict([(word, True) for word in pro_text]) label = classifier.classify(ft_pro_text) isTraffic = False probability = 0 #>>>>>>>>>>>>>>>>>>>>>FIND THE PROBABILITY<<<<<<<<<<<<<<<<< if label == 'traffic': isTraffic = True probability_dict = classifier.prob_classify(ft_pro_text) probability = probability_dict.prob('traffic') print text, probability, isTraffic return isTraffic, probability
def classify_traffic(text, classifier): pro_text = preprocessor().preprocess(text, []) ft_pro_text = dict([(word, True) for word in pro_text]) label = classifier.classify(ft_pro_text) isTraffic = False probability = 0 # Find the probability if label == 'traffic': isTraffic = True probability_dict = classifier.prob_classify(ft_pro_text) probability = probability_dict.prob('traffic') return isTraffic, probability
def classify_traffic(text, classifier): pro_text = preprocessor().preprocess(text, []) ft_pro_text = dict([(word, True) for word in pro_text]) label = classifier.classify(ft_pro_text) isTraffic = False probability = 0 # Find the probability if label == "traffic": isTraffic = True probability_dict = classifier.prob_classify(ft_pro_text) probability = probability_dict.prob("traffic") return isTraffic, probability