anchor.diff:    "field_statistics" : true
   }'
   --------------------------------------------------
  -
  -[float]
  +==================================================
  +
   [[docs-termvectors-artificial-doc]]
  -=== Example 3
  +[example]
  +.Artificial documents
  +--
   
   Term vectors can also be generated for artificial documents,
   that is for documents not present in the index. The syntax is similar to the
  
positive.code:     }
  }
  --------------------------------------------------
  
  [float]
  === Example 2
  
  Term vectors which are not explicitly stored in the index are automatically
  computed on the fly. The following request returns all information and statistics for 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
  