text: 
  # coding: utf-8
  
  # In[27]:
  
  import gensim, logging
  import os
  
  
  
  os.chdir('C:\\Users\\rounayak\\Documents\\Fuso\\word embedding\\word to vec\\Summing')
  #logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
   
  class MySentences(object):
      def __init__(self, dirname):
          self.dirname = dirname
   
      def __iter__(self):
          for fname in os.listdir(self.dirname):
              for line in open(os.path.join(self.dirname, fname), encoding='utf-8'):
                  yield line.split()
   
  sentences = MySentences('C:/Users/rounayak/Documents/Fuso/word embedding/word to vec/Summing/train')
                      
  
  
  # In[23]:
  
  iter(sentences)
  
  
  # In[40]:
  
  model = gensim.models.Word2Vec(sentences, size=300, window=5, min_count=3, workers=4,sg=1)
  
  
  # In[41]:
  
  
  model.save('C:/Users/rounayak/Documents/Fuso/word2vec/Word2Vec')
  
  
  
  # In[37]:
  
  
  
  