Preprocessor.py 文件源码

def sentence2vec(self, sentence):
        if len(self.features) == 0:
            self.load_feature_model()
        seg_list = jieba.cut(sentence, False)
        freq_dist = nltk.FreqDist(seg_list)
        local_list = []
        for each in self.features:
            local_list.append(freq_dist[each])
        return local_list