You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@lucene.apache.org by "Mark Harwood (JIRA)" <ji...@apache.org> on 2015/08/19 18:13:45 UTC

[jira] [Created] (LUCENE-6747) FingerprintFilter - a TokenFilter for clustering/linking purposes

Mark Harwood created LUCENE-6747:
------------------------------------

             Summary: FingerprintFilter - a TokenFilter for clustering/linking purposes
                 Key: LUCENE-6747
                 URL: https://issues.apache.org/jira/browse/LUCENE-6747
             Project: Lucene - Core
          Issue Type: New Feature
          Components: modules/analysis
            Reporter: Mark Harwood
            Priority: Minor


A TokenFilter that emits a single token which is a sorted, de-duplicated set of the input tokens.
This approach to normalizing text is used in tools like OpenRefine[1] and elsewhere [2] to help in clustering or linking texts.
The implementation proposed here has a an upper limit on the size of the combined token which is output.

[1] https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth
[2] https://rajmak.wordpress.com/2013/04/27/clustering-text-map-reduce-in-python/



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org