I'm working with social media data. We have blog posts in our index - text + authors_id. Now we need to clusterize authors by their texts. We need to get term vector not for documents, but one vector per one author (for all authors documents).
We can't get all documents and then unite 'em cause It'll take ages. And we can't just concat all posts in one mega-post per author (to have one document per author), cause our data grows every day and we receive new posts for authors. Can u suggest any solution? -- View this message in context: http://lucene.472066.n3.nabble.com/Terms-vector-for-multiple-documents-tp4171297.html Sent from the Solr - User mailing list archive at Nabble.com.
