For a tag cloud, the anomalous words are what you want. If you choose the most common words, then every tag cloud will have the same words. It will look like:
the, be, to, it, of, and, a, in, that, have, I, it, for, not, on, with, ... wunder Walter Underwood wun...@wunderwood.org http://observer.wunderwood.org/ (my blog) > On Nov 3, 2020, at 10:04 AM, uyilmaz <uyil...@vivaldi.net.INVALID> wrote: > > > I have been trying to find a way to do this in Solr for a while. Perform a > query, and for a text_general field in the result set, find each term's # of > occurences. > > - I tried the Terms Component, it doesn't have the ability to restrict the > result set with a query. > > - Tried faceting on the field, since it's a text_general field it doesn't > have docValues, plus cardinality is very high (millions of documents * tens > of words in each field), so it works but it's very slow and sometimes times > out. > > - Tried significantTerms streaming expression, but it's logically not the > same with what I'm looking for. It gives the words occuring frequently in the > result set, but not occuring as frequently outside it. So it's better to find > out frequency anomalies rather than simply the counts. > > Do you have any suggestions? > > Regards > > -- > uyilmaz <uyil...@vivaldi.net>
