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https://issues.apache.org/jira/browse/LUCENE-4345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13456053#comment-13456053
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Lance Norskog commented on LUCENE-4345:
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I recently did some related research in text analysis and found that limiting
terms to nouns&verbs was a 10-15% increase in all variations of the test.
So, filtering terms from Parts-of-Speech annotation will be very helpful. In my
OpenNLP patch is a FilterPayloadsFilter which keeps or rips out from a list of
text payloads.
[http://ultrawhizbang.blogspot.com/2012/09/document-summarization-with-lsa-1.html]
> Create a Classification module
> ------------------------------
>
> Key: LUCENE-4345
> URL: https://issues.apache.org/jira/browse/LUCENE-4345
> Project: Lucene - Core
> Issue Type: New Feature
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Priority: Minor
> Attachments: LUCENE-4345_2.patch, LUCENE-4345.patch,
> SOLR-3700_2.patch, SOLR-3700.patch
>
>
> Lucene/Solr can host huge sets of documents containing lots of information in
> fields so that these can be used as training examples (w/ features) in order
> to very quickly create classifiers algorithms to use on new documents and /
> or to provide an additional service.
> So the idea is to create a contrib module (called 'classification') to host a
> ClassificationComponent that will use already seen data (the indexed
> documents / fields) to classify new documents / text fragments.
> The first version will contain a (simplistic) Lucene based Naive Bayes
> classifier but more implementations should be added in the future.
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