P.S. although phrase queries with fields that do NOT have stopwords removed feels kinda like what you're hinting at.
Erick On Tue, Mar 9, 2010 at 6:49 PM, Erick Erickson <erickerick...@gmail.com>wrote: > I think you need to back up and tell us what you're > trying to accomplish from a higher level. > See Hossman's apache page: > > Your question appears to be an "XY Problem" ... that is: you are dealing > > with "X", you are assuming "Y" will help you, and you are asking about "Y" > without giving more details about the "X" so that we can understand the > full issue. Perhaps the best solution doesn't involve "Y" at all? > > See Also: http://www.perlmonks.org/index.pl?node_id=542341 > > Erick > > > On Tue, Mar 9, 2010 at 6:16 PM, Christopher Ball < > christopher.b...@metaheuristica.com> wrote: > >> Unfortunately, I don't see how the KeywordTokenizerFactory could work >> given >> the field in question is delimited text (paragraphs) and the >> KeywordTokenizerFactory essentially does nothing to the inbound content. >> >> >> >> Feel like I must be missing something . . . but can't figure out what. >> >> >> >> Do I really need to write a custom analyzer for this? >> >> >> >> _____ >> >> From Erick Erickson <erickerick...@gmail.com> Subject Re: Index an entire >> Phrase and not it's constituent parts? Date Thu, 04 Mar 2010 19:55:58 GMT >> >> Try KeywordTokenizerFactory. This page is very useful: >> http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters >> >> HTH >> <http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters>Erick >> >> On Thu, Mar 4, 2010 at 2:31 PM, Christopher Ball < >> christopher.b...@metaheuristica.com> wrote: >> >> > How can I Index an entire Phrases and not it's constituent parts? >> > >> > >> > >> > I want to index collations as a single term in the index, and not as the >> > multiple terms that comprise the phrase, for example, I want to index: >> "as >> > much as" but not the independent parts: "as", "much", "as". >> > >> > >> > >> > Any guidance appreciated, >> > >> > >> > >> > Christopher >> >> >> >> >> >
