title: How to know specific TF-IDF value of a word?
body: <p>How can I know the value of a specific word using the TfidfVectorizer function?
  For example, my code is:</p>
  
  <pre><code>docs = []
  docs.append("this is sentence number one")
  docs.append("this is sentence number two")
  vectorizer = TfidfVectorizer(norm='l2',min_df=0, use_idf=True, smooth_idf=True, stop_words='english', sublinear_tf=True)
  sklearn_representation = vectorizer.fit_transform(docs)
  </code></pre>
  
  <p>Now, how can I know the TF-IDF value of "sentence" in the sentence 2 (docs[1])?</p>