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From "Lance Norskog (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (LUCENE-4345) Create a Classification module
Date Fri, 14 Sep 2012 23:21:08 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-4345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13456053#comment-13456053
] 

Lance Norskog edited comment on LUCENE-4345 at 9/15/12 10:20 AM:
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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 terms based on a list of text payloads.

[http://ultrawhizbang.blogspot.com/2012/09/document-summarization-with-lsa-1.html]
                
      was (Author: lancenorskog):
    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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