load_wc

# load in pre-trained word vectors
print('Loading word vectors...')
word2vec = {}
with open(EMBEDDING_FILE) as f:
  # is just a space-separated text file in the format:
  # word vec[0] vec[1] vec[2] ...
  for line in f:
    values = line.split()
    word = values[0]
    vec = np.asarray(values[1:], dtype='float32')
    word2vec[word] = vec
print('Found %s word vectors.' % len(word2vec))