anchor.diff:     each term in this field)
   
   [float]
  -==== Distributed frequencies coming[2.0]
  +==== Distributed frequencies
  +
  +coming[2.0]
   
   Setting `dfs` to `true` (default is `false`) will return the term statistics
   or the field statistics of the entire index, and not just at the shard. Use it
   with caution as distributed frequencies can have a serious performance impact.
   
   [float]
  -==== Terms Filtering coming[2.0]
  +==== Terms Filtering
  +
  +coming[2.0]
   
   With the parameter `filter`, the terms returned could also be filtered based
   on their tf-idf scores. This could be useful in order find out a good
  
positive.code:   "field_statistics" : true
  }'
  --------------------------------------------------
  
  [float]
  [[docs-termvectors-artificial-doc]]
  === Example 3
  
  Term vectors can also be generated for artificial documents,
  that is for documents not present in the index. The syntax is similar to the
  
negative.code:   }
  }
  --------------------------------------------------
  ==================================================
  
  [[docs-termvectors-terms-filtering]]
  .Terms filtering
  ==================================================
  
  Finally, the terms returned could be filtered based on their tf-idf scores. In
  the example below we obtain the three most "interesting" keywords from the
  