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Posted to dev@lucene.apache.org by "Uwe Schindler (Commented) (JIRA)" <ji...@apache.org> on 2011/11/25 10:11:40 UTC
[jira] [Commented] (SOLR-2917) Support for field-specific
tokenizers, token- and character filters in search results clustering
[ https://issues.apache.org/jira/browse/SOLR-2917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13157040#comment-13157040 ]
Uwe Schindler commented on SOLR-2917:
-------------------------------------
By eliminating step 3, carrot could also be fed by term vectors with crazy Highlighter's TVTokenStream?
> Support for field-specific tokenizers, token- and character filters in search results clustering
> ------------------------------------------------------------------------------------------------
>
> Key: SOLR-2917
> URL: https://issues.apache.org/jira/browse/SOLR-2917
> Project: Solr
> Issue Type: Improvement
> Components: contrib - Clustering
> Reporter: Stanislaw Osinski
> Assignee: Stanislaw Osinski
> Fix For: 3.6
>
>
> Currently, Carrot2 search results clustering component creates clusters based on the raw text of a field. The reason for this is that Carrot2 aims to create meaningful cluster labels by using sequences of words taken directly from the documents' text (including stop words: _Development of Lucene and Solr_ is more readable than _Development Lucene Solr_). The easiest way of providing input for such a process was feeding Carrot2 with raw (stored) document content.
> It is, however, possible to take into account +some+ of the field's filters during clustering. Because Carrot2 does not currently expose an API for feeding pre-tokenized input, the clustering component would need to:
> 1. get raw text of the field,
> 2. run it through the field's char filters, tokenizers and selected token filters (omitting e.g. stop words filter and stemmers, Carrot2 needs the original words to produce readable cluster labels),
> 3. glue the output back into a string and feed to Carrot2 for clustering.
> In the future, to eliminate step 3, we could modify Carrot2 to accept pre-tokenized content.
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