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: when requesting term vectors of artificial documents, a shard to get the statistics
  from is randomly selected. Use `routing` only to hit a particular shard.
  
  [float]
  === Example 1
  
  First, we create an index that stores term vectors, payloads etc. :
  
  
negative.code:   }
  }'
  --------------------------------------------------
  --
  
  [[docs-termvectors-per-field-analyzer]]
  .Per-field analyzer
  ==================================================
  
  Additionally, a different analyzer than the one at the field may be provided
  by using the `per_field_analyzer` parameter. This is useful in order to
  