title: how to get top terms based on tf-idf Python
body: <p>Here is my python code.    </p>
  
  <pre><code>tfidf = TfidfVectorizer(tokenizer=tokenize, stop_words='english')
  tfidf_matrix = tfidf.fit_transform(token_dict.values())
  print tfidf_matrix
  </code></pre>
  
  <p>The results show like this:</p>
  
  <pre><code>        (0, 210)    0.14152686101
          (0, 1)      0.0707634305049
          (0, 261)    0.212290291515
          (0, 11)     0.135603306032
                : :
          (3, 49)     0.0709465134358
          (3, 37)     0.315905243912
          (3, 374)    0.11487463415
          (3, 192)    0.057437317075
  </code></pre>
  
  <p>What I want to return is top 10(based on their tf<em>idf) terms' name and tf</em>idf score per document. </p>