docs: def _normalize(sentences):
      '''returns tf-idf matrix
         (unigrams+bigrams)'''
  
      tfidf = TfidfVectorizer(tokenizer=_tokenize,
                              stop_words='english',
                              decode_error='ignore',
                              ngram_range=(1,2))
      return tfidf.fit_transform(sentences)