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https://issues.apache.org/jira/browse/OPENNLP-861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15437779#comment-15437779
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Joey Hong commented on OPENNLP-861:
-----------------------------------
I have been using one, which extends the AbstractDataIndexer class for a
current project I am doing using OpenNLP. I just need to do a few adaptations
before it is ready to be pushed to OpenNLP.
> Add Chi-Squared Data Indexer for Feature Selection
> --------------------------------------------------
>
> Key: OPENNLP-861
> URL: https://issues.apache.org/jira/browse/OPENNLP-861
> Project: OpenNLP
> Issue Type: New Feature
> Components: Machine Learning
> Affects Versions: 1.6.0
> Reporter: Joey Hong
> Priority: Minor
> Labels: features
> Fix For: 1.6.1
>
>
> Text classification will naturally produce a lot of features. A lot of them
> are independent of the category, and provide no real information gain in the
> classification.
> The Chi-Squared feature selection method will allow features that do not pass
> a threshold for dependency to be removed from the feature list, keeping the
> feature list a reasonable size without significantly affecting the
> classification accuracy.
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