Consider you have multivalued field _tag_ related to every document in your corpus. Then you can build tag cloud relevant for all data set or specific query by retrieving facets for field _tag_ for "*:*" or any other query. You'll get a list of popular _tag_ values relevant to this query with occurrence counts.
If you want to build tag cloud for general analyzed text fields you still can do that the same way, but you should note that you can hit some performance/memory problems if you have significant data set and huge text fields. You should probably use stop words to filter popular general terms. On Sat, Jun 18, 2011 at 8:12 AM, Jamie Johnson <jej2...@gmail.com> wrote: > Does anyone have details of how to generate a tag cloud of popular terms > across an entire data set and then also across a query? >
