anchor.diff:  **********************************
   
   
  -
  -=== Use on free-text fields
  +==== Use on free-text fields
   
   The significant_terms aggregation can be used effectively on tokenized free-text fields to suggest:
   
  
positive.code: aggregation that later discards many candidate terms. It is advisable in these cases to perform two searches - the first to provide a rationalized list of
  significant_terms and then add this shortlist of terms to a second query to go back and fetch the required child aggregations.  
   
  ==== Approximate counts
  The counts of how many documents contain a term provided in results are based on summing the samples returned from each shard and
  as such may be:
  
  
negative.code:          default value of 3 is used to provide a minimum weight-of-evidence.
  
  
  ===== Filtering Values
  
  It is possible (although rarely required) to filter the values for which buckets will be created. This can be done using the `include` and
  `exclude` parameters which are based on regular expressions. This functionality mirrors the features
  