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From "Lance Norskog (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-4345) Create a Classification module
Date Tue, 04 Sep 2012 00:01:08 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-4345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13447429#comment-13447429
] 

Lance Norskog commented on LUCENE-4345:
---------------------------------------

bq. would make training slower but it could be useful to improve accuracy
If you use index data which is already analyzed with the same analyzer as your test (unseen)
documents, you can use a lot more documents as input. More is better. As the training data
increases, signal drives out noise. Once you add the ability to store & load models, training
speed becomes less important. 

Look at the Mahout project for ideas about text classifiers. The ConfusionMatrix class and
the html page it prints are really handy for summarizing and probing the classifier's performance.

                
> 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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