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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:
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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/
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