title: Special characters in countVectorizer Scikit-learn
body: <p>Consider this runnable example:</p>
  
  <pre><code>#coding: utf-8
  from sklearn.feature_extraction.text import CountVectorizer
  
  vectorizer = CountVectorizer()
  corpus = ['öåa hej ho' 'åter aba na', 'äs äp äl']
  x = vectorizer.fit_transform(corpus)
  l =  vectorizer.get_feature_names()
  
  for u in l:
          print u
  </code></pre>
  
  <p>The output will be</p>
  
  <pre><code>aba
  hej
  ho
  na
  ter
  </code></pre>
  
  <p>Why is the åäö removed? Note that the vectorizer strip_accents=None is default. I would be really grateful if you could help me with this.</p>