Keras Deep Learning Cookbook

Full code listing 

The full code listing is as follows:

# imports from Keras and Sklearnimport csvfrom numpy import array, asarray, zerosfrom keras.preprocessing.text import one_hot, Tokenizerfrom keras.preprocessing.sequence import pad_sequencesfrom keras.models import Sequentialfrom keras.layers import Dense, SpatialDropout1D, LSTMfrom keras.layers import Flattenfrom keras.layers.embeddings import Embeddingimport pandas as pdimport refrom sklearn.model_selection import train_test_split# read input document - Sentiment.csv (part of repository)X = pd.read_csv('/deeplearning-keras/ch08/sentiment-analysis/Sentiment.csv')X = X[['text', 'sentiment']]X = X[X.sentiment != 'Neutral']X['text'] = X['text'].apply(lambda x: x.lower())X['text'] = X[ ...