dbonadiman

x = Input(shape=(max_len,))
emb = Embedding(max_features,
                embedding_dims,
                input_length=max_len))(x)
                
for filter_len in [2, 3, 4]:
    branch = Sequential()
    branch.add(Convolution1D(nb_filter=filters,
                             filter_length=filter_len,
                             border_mode='valid',

dbonadiman

import json
import tweepy


class StdOutListener(tweepy.StreamListener):
    def do_stuff(self, pdata):
        print pdata['text']

    def on_data(self, data):
        pdata = ""