Two easy ones: 1) Facets on a text field are simple word counts by document. 2) If you want the number of times a word appears inside a document, that requires a separate dataset called a 'term vector'. This is a list of all words in a document with a count for each one. These are simple queries. There are also batch computations where you create a 'term-document matrix', with a row for each document and a column for all terms that appear in any document. These computations require exporting all of your data into a separate computation.
On Thu, Aug 2, 2012 at 1:26 PM, Chris Dawson <xrdaw...@gmail.com> wrote: > Tor, > > Thanks for your response. > > I'd like to put an arbitrary set of text into Solr and then have Solr tell > me the ten most popular "topics" that are in there. For example, if I put > in 100 paragraphs of text about sports, I would like to retrieve topics > like "swimming, basketball, tennis" if the three most popular and discussed > topics are those inside the text. > > Is Solr the correct tool to do something like this? Or, is this too > unstructured to get this kind of result without manually categorizing it? > > Is the correct term for this faceting? It seems to me that faceting > requires putting the data into a more structured format (for example, > telling the index that this is the "manufacturer", etc.) > > Basically, I would like to get something like a tag cloud (relevant topics > with weights for each term) without asking users to tag things manually. > > Chris > > On Thu, Aug 2, 2012 at 3:25 PM, Tor Henning Ueland > <tor.henn...@gmail.com>wrote: > >> On Thu, Aug 2, 2012 at 5:34 PM, Chris Dawson <xrdaw...@gmail.com> wrote: >> >> > How would I generate a list of trending topics using solr? >> > >> >> >> By putting them in solr. >> (Generic question get at generic answer) >> >> What do you mean? Trending searches, trending data, trending documents, >> trending what? >> >> >> -- >> Regards >> Tor Henning Ueland >> > > > > -- > Chris Dawson > 971-533-8335 > Human potential, travel and entrepreneurship: http://webiphany.com/ > Traveling to Portland, OR? http://www.airbnb.com/rooms/58909 -- Lance Norskog goks...@gmail.com
