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Posted to issues@opennlp.apache.org by "Joern Kottmann (JIRA)" <ji...@apache.org> on 2016/11/02 22:31:58 UTC
[jira] [Commented] (OPENNLP-861) Add Chi-Squared Data Indexer for
Feature Selection
[ https://issues.apache.org/jira/browse/OPENNLP-861?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15630750#comment-15630750 ]
Joern Kottmann commented on OPENNLP-861:
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Removed from the 1.6.1 release, in case we get the contribution soon we can add it back in, otherwise it will go into the release afterwards.
> 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
>
> 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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