title: Gensim: How to save LDA model's produced topics to a readable format (csv,txt,etc)?
body: <p>last parts of the code:   </p>
  
  <pre><code>lda = LdaModel(corpus=corpus,id2word=dictionary, num_topics=2)
  print lda
  </code></pre>
  
  <p>bash output:</p>
  
  <pre><code>INFO : adding document #0 to Dictionary(0 unique tokens)
  INFO : built Dictionary(18 unique tokens) from 5 documents (total  20 corpus positions)
  INFO : using serial LDA version on this node
  INFO : running online LDA training, 2 topics, 1 passes over the supplied corpus of 5 documents, updating model once every 5 documents
  WARNING : too few updates, training might not converge; consider increasing the number of passes to improve accuracy
  INFO : PROGRESS: iteration 0, at document #5/5
  INFO : 2/5 documents converged within 50 iterations
  INFO : topic #0: 0.079*cute + 0.076*broccoli + 0.070*adopted + 0.069*yesterday + 0.069*eat + 0.069*sister + 0.068*kitten + 0.068*kittens + 0.067*bananas + 0.067*chinchillas
  INFO : topic #1: 0.082*broccoli + 0.079*cute + 0.071*piece + 0.070*munching + 0.069*spinach + 0.068*hamster + 0.068*ate + 0.067*banana + 0.066*breakfast + 0.066*smoothie
  INFO : topic diff=0.470477, rho=1.000000
  &lt;gensim.models.ldamodel.LdaModel object at 0x10f1f4050&gt;
  </code></pre>
  
  <p>So I'm wondering i'm able to save the resulting topics that it generated, to a readable format. I've tried the <code>.save()</code> methods, but it always outputs something unreadable. </p>